Triple

T4104312
Position Surface form Disambiguated ID Type / Status
Subject County Down E88413 entity
Predicate contains P35 FINISHED
Object 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.
 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: [County Down, contains, Bangor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bangor
Context triple: [County Down, contains, 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 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.
  • C. 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.
  • D. Prestatyn
    Prestatyn is a seaside town in Denbighshire, North Wales, known for its sandy beaches, coastal tourism, and position near the Irish Sea.
  • E. 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.
  • 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: [County Down, contains, Bangor]
Generated description
Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bangor
Target entity description: Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby 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 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.
  • C. 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.
  • D. Prestatyn
    Prestatyn is a seaside town in Denbighshire, North Wales, known for its sandy beaches, coastal tourism, and position near the Irish Sea.
  • E. 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.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7cdc088190a63f6c6d39ca4350 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c29c72081909e6ef890dde593dd completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56ca671d0819097760161832998b0 completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:40 p.m.