Triple

T3701539
Position Surface form Disambiguated ID Type / Status
Subject Harstad E78588 entity
Predicate demergedFrom P43208 FINISHED
Object Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
E389724 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Trondenes | Statement: [Harstad, demergedFrom, Trondenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trondenes
Context triple: [Harstad, demergedFrom, Trondenes]
  • A. Troms
    Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
  • B. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • C. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • D. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • E. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trondenes
Triple: [Harstad, demergedFrom, Trondenes]
Generated description
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trondenes
Target entity description: Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
  • A. Troms
    Troms was a former county in northern Norway known for its Arctic landscapes, coastal fjords, and the city of Tromsø.
  • B. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • C. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • D. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • E. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demergedFrom
Context triple: [Harstad, demergedFrom, Trondenes]
  • A. dissolvedByMerger
    Indicates that an entity ceased to exist as an independent entity because it was legally combined into another entity through a merger.
  • B. dividedFormerEntity chosen
    Indicates that an entity was once part of a single unified entity that has since been split into multiple separate entities.
  • C. divisionFormedFrom
    Indicates that an organizational division was created by splitting off from or being reorganized out of another existing entity.
  • D. foundedByMergerOf
    Indicates that an entity was created through the merger or combination of two or more predecessor entities.
  • E. emergedFrom
    Indicates that one entity originated, arose, or came forth from another entity or source.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb02366881909d984b54bfc571e9 completed March 14, 2026, 6:06 a.m.
NEDg Description generation batch_69b4fbf52fc88190a54ba5b374b2cdad completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc6847e88190b6590aa2e56c8903 completed March 14, 2026, 6:12 a.m.
PD Predicate disambiguation batch_69adb84eeca48190bb4de637e9f0e27a completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:26 p.m.