Triple

T3523101
Position Surface form Disambiguated ID Type / Status
Subject KT postcode area E74471 entity
Predicate containsPostcodeDistrict P32592 FINISHED
Object KT17 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: KT17 | Statement: [KT postcode area, containsPostcodeDistrict, KT17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KT17
Context triple: [KT postcode area, containsPostcodeDistrict, KT17]
  • 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. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • D. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • E. KTTS
    KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4f16b8819094ad2755670ddc7b completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e87c7948190901d98f34e3987eb completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.