Triple

T9448371
Position Surface form Disambiguated ID Type / Status
Subject River Bann E227822 entity
Predicate flowsThrough P225 FINISHED
Object Banbridge
Banbridge is a town in County Down, Northern Ireland, known historically for its linen industry and its location along the River Bann.
E814443 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: Banbridge | Statement: [River Bann, flowsThrough, Banbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banbridge
Context triple: [River Bann, flowsThrough, Banbridge]
  • A. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • B. Downpatrick
    Downpatrick is a historic town in County Down, Northern Ireland, traditionally associated with Saint Patrick and serving as an important religious and administrative center in the region.
  • C. Jordanstown
    Jordanstown is a suburban area in County Antrim, Northern Ireland, known for hosting one of Ulster University's main campuses.
  • D. Newtownabbey
    Newtownabbey is a large suburban town and former borough on the northern outskirts of Belfast in Northern Ireland.
  • E. Carrickfergus
    Carrickfergus is a historic coastal town in Northern Ireland, best known for its well-preserved medieval castle on the shores of Belfast Lough.
  • 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: Banbridge
Triple: [River Bann, flowsThrough, Banbridge]
Generated description
Banbridge is a town in County Down, Northern Ireland, known historically for its linen industry and its location along the River Bann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banbridge
Target entity description: Banbridge is a town in County Down, Northern Ireland, known historically for its linen industry and its location along the River Bann.
  • A. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • B. Downpatrick
    Downpatrick is a historic town in County Down, Northern Ireland, traditionally associated with Saint Patrick and serving as an important religious and administrative center in the region.
  • C. Jordanstown
    Jordanstown is a suburban area in County Antrim, Northern Ireland, known for hosting one of Ulster University's main campuses.
  • D. Newtownabbey
    Newtownabbey is a large suburban town and former borough on the northern outskirts of Belfast in Northern Ireland.
  • E. Carrickfergus
    Carrickfergus is a historic coastal town in Northern Ireland, best known for its well-preserved medieval castle on the shores of Belfast Lough.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f62dfa48190bf318777d97f0f2a completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190cc06d48190b437edfc4fee8cce completed April 4, 2026, 10:29 p.m.
NEDg Description generation batch_69d192f37e54819099d316ce44de2c81 completed April 4, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1933ffc3481909395c9efb63875bb completed April 4, 2026, 10:40 p.m.
Created at: March 30, 2026, 7:51 p.m.