Triple

T15183006
Position Surface form Disambiguated ID Type / Status
Subject Headley, Surrey E362793 entity
Predicate hasPostcodeArea P920 FINISHED
Object KT E74471 NE FINISHED

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: KT | Statement: [Headley, Surrey, hasPostcodeArea, KT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KT
Context triple: [Headley, Surrey, hasPostcodeArea, KT]
  • A. KT chosen
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • B. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • C. KT
    KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
  • D. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • E. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006663ad48190986b680001be0e9b completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec893f1e08190a192b7b9b80484e8 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.