Triple

T2436289
Position Surface form Disambiguated ID Type / Status
Subject Caernarfonshire E52968 entity
Predicate contains P35 FINISHED
Object Bangor
Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
 E266539 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: [Caernarfonshire, contains, Bangor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bangor
Context triple: [Caernarfonshire, contains, Bangor]
  • A. 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.
  • B. Bangor, Maine
    Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
  • C. Colchester
    Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
  • D. Barrow
    Barrow is a small village and civil parish in Lancashire, England, situated within the Ribble Valley district.
  • E. St. Davids
    St. Davids is a suburban community in Pennsylvania’s Main Line area, known for its residential character and commuter access to Philadelphia.
  • 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: [Caernarfonshire, contains, Bangor]
Generated description
Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bangor
Target entity description: Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
  • A. 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.
  • B. Bangor, Maine
    Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
  • C. Colchester
    Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
  • D. Barrow
    Barrow is a small village and civil parish in Lancashire, England, situated within the Ribble Valley district.
  • E. Glocester
    Glocester is a rural town in northwestern Rhode Island known for its historic villages, woodlands, and small-town New England character.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6e23088190b0ce2feaa3eddda4 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec7eb422c8190a568a8e1e98cbca8 completed March 9, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69aecc1438588190a87c15cbfe48ba7f completed March 9, 2026, 1:33 p.m.
Created at: March 6, 2026, 9:43 p.m.