Triple

T15332335
Position Surface form Disambiguated ID Type / Status
Subject Hornelen E366565 entity
Predicate nearbySettlement P350 FINISHED
Object Botnane
Botnane is a small settlement in western Norway situated near the prominent Hornelen mountain and sea cliff.
E1149883 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: Botnane | Statement: [Hornelen, nearbySettlement, Botnane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botnane
Context triple: [Hornelen, nearbySettlement, Botnane]
  • A. Bacnotan
    Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
  • B. Bobbahn
    Bobbahn is a bobsled-style roller coaster located at Heide Park in Germany, known for its winding track and terrain-hugging layout.
  • C. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • D. Borallon
    Borallon is a small rural locality in Queensland, Australia, known for its agricultural surroundings and proximity to the city of Ipswich.
  • E. Bastan
    Bastan is a family of turboprop aircraft engines developed by Turbomeca and used on several regional and military transport aircraft.
  • 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: Botnane
Triple: [Hornelen, nearbySettlement, Botnane]
Generated description
Botnane is a small settlement in western Norway situated near the prominent Hornelen mountain and sea cliff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Botnane
Target entity description: Botnane is a small settlement in western Norway situated near the prominent Hornelen mountain and sea cliff.
  • A. Bacnotan
    Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
  • B. Bobbahn
    Bobbahn is a bobsled-style roller coaster located at Heide Park in Germany, known for its winding track and terrain-hugging layout.
  • C. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • D. Borallon
    Borallon is a small rural locality in Queensland, Australia, known for its agricultural surroundings and proximity to the city of Ipswich.
  • E. Bastan
    Bastan is a family of turboprop aircraft engines developed by Turbomeca and used on several regional and military transport aircraft.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b2ea5c8190b6e5f3fcbd7c265f completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa54397c81909c9bfb8c0553b3d1 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb04d7e4819084ac10e05dccb3e3 completed May 9, 2026, 9:14 a.m.
Created at: April 10, 2026, 3:17 a.m.