Triple

T6979785
Position Surface form Disambiguated ID Type / Status
Subject Bandar Abbas E161810 entity
Predicate historicalName P65 FINISHED
Object Gamrun
Gamrun is the former historical name of Bandar Abbas, a major port city on the southern coast of Iran along the Persian Gulf.
 E634025 NE FINISHED

How this triple was built (4 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: Gamrun | Statement: [Bandar Abbas, historicalName, Gamrun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gamrun
Context triple: [Bandar Abbas, historicalName, Gamrun]
  • A. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • B. Alstahaug
    Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • C. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • D. Sandavágur
    Sandavágur is a picturesque coastal village on the island of Vágar in the Faroe Islands, known for its colorful houses, historic church, and scenic harbor views.
  • E. Ørsta
    Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
  • 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: Gamrun
Triple: [Bandar Abbas, historicalName, Gamrun]
Generated description
Gamrun is the former historical name of Bandar Abbas, a major port city on the southern coast of Iran along the Persian Gulf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gamrun
Target entity description: Gamrun is the former historical name of Bandar Abbas, a major port city on the southern coast of Iran along the Persian Gulf.
  • A. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • B. Alstahaug
    Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • C. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • D. Sandavágur
    Sandavágur is a picturesque coastal village on the island of Vágar in the Faroe Islands, known for its colorful houses, historic church, and scenic harbor views.
  • E. Ørsta
    Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
  • F. None of above. chosen

Provenance (5 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761bb90f48190882a58c2da10b3e4 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c763d0e5d481909a98dd01806264f1 completed March 28, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69c764580f888190872ca1d2230648e8 completed March 28, 2026, 5:17 a.m.
Created at: March 27, 2026, 2:31 p.m.