Triple

T20048029
Position Surface form Disambiguated ID Type / Status
Subject Portstewart E497613 entity
Predicate hasPostcodeArea P920 FINISHED
Object BT
BT is the postcode area covering Belfast and much of Northern Ireland, used for addressing mail within the region.
E414571 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: BT | Statement: [Portstewart, hasPostcodeArea, BT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT
Context triple: [Portstewart, hasPostcodeArea, BT]
  • A. BT
    BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • B. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • C. BT
    BT is a peer-to-peer file sharing protocol widely used for distributing large amounts of data over the internet.
  • D. BT
    BT is a major Danish tabloid newspaper known for its popular coverage of news, sports, and entertainment.
  • E. BT
    BT is an American electronic music producer and composer known for pioneering trance and progressive electronic styles and for his innovative use of production techniques.
  • 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: BT
Triple: [Portstewart, hasPostcodeArea, BT]
Generated description
BT is the postcode area covering Belfast and much of Northern Ireland, used for addressing mail within the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BT
Target entity description: BT is the postcode area covering Belfast and much of Northern Ireland, used for addressing mail within the region.
  • A. BT chosen
    BT is the postcode area covering Belfast and much of Northern Ireland.
  • B. BT
    BT is a major British telecommunications and network services company providing broadband, mobile, TV, and IT services in the UK and internationally.
  • C. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • D. BT
    BT is the line designation used for Beijing's Batong Line, an extension of the Beijing Subway network serving the eastern suburbs.
  • E. BT
    BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632c085081908710cbc939ac9971 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3007688190a6cfe629a5a2dd55 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0820d8d2c48190b8c75fc59e43462a completed May 16, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_6a08212942e88190a385e094a27b3ede completed May 16, 2026, 7:47 a.m.
Created at: April 11, 2026, 3:37 p.m.