Triple

T17029896
Position Surface form Disambiguated ID Type / Status
Subject Coontie Doon E413163 entity
Predicate containsCity P294 FINISHED
Object Bangor
Bangor is a coastal city in County Down, Northern Ireland, known as a seaside resort and commuter town near Belfast.
 E413143 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: Bangor | Statement: [Coontie Doon, containsCity, Bangor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bangor
Context triple: [Coontie Doon, containsCity, Bangor]
  • A. Bangor
    Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
  • B. Bangor
    Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
  • C. Bangor
    Bangor is a coastal commune located on Belle-Île, an island off the coast of Brittany in northwestern France.
  • D. Bangor
    Bangor is a small borough in eastern Pennsylvania known historically for its slate quarrying industry and close-knit community.
  • E. Bangor metropolitan area
    The Bangor metropolitan area is a regional urban and economic hub in central-eastern Maine centered on the city of Bangor and its surrounding communities.
  • 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: Bangor
Triple: [Coontie Doon, containsCity, Bangor]
Generated description
Bangor is a coastal city in County Down, Northern Ireland, known as a seaside resort and commuter town near Belfast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bangor
Target entity description: Bangor is a coastal city in County Down, Northern Ireland, known as a seaside resort and commuter town near Belfast.
  • A. Bangor
    Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
  • B. Bangor chosen
    Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
  • C. Bangor
    Bangor is a coastal commune located on Belle-Île, an island off the coast of Brittany in northwestern France.
  • D. Bangor
    Bangor is a small borough in eastern Pennsylvania known historically for its slate quarrying industry and close-knit community.
  • E. Bangor metropolitan area
    The Bangor metropolitan area is a regional urban and economic hub in central-eastern Maine centered on the city of Bangor and its surrounding communities.
  • F. None of above.

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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d918ec8190b54c40c2a5e9b6b9 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a01259ebc748190a9ba5b1ccfb13210 completed May 11, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0125fed58881909218c7534f9dc8c8 completed May 11, 2026, 12:42 a.m.
Created at: April 10, 2026, 5:33 a.m.