Triple

T19817057
Position Surface form Disambiguated ID Type / Status
Subject Portglenone E476085 entity
Predicate hasPostcodeArea P920 FINISHED
Object BT NE NERFINISHED

How this triple was built (2 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: [Portglenone, hasPostcodeArea, BT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT
Context triple: [Portglenone, hasPostcodeArea, BT]
  • A. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • B. 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.
  • C. BT
    BT is a major British telecommunications and network services company providing broadband, mobile, TV, and IT services in the UK and internationally.
  • D. BT chosen
    BT is the postcode area covering Belfast and much of Northern Ireland.
  • E. BT
    BT is a peer-to-peer file sharing protocol widely used for distributing large amounts of data over the internet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.