Triple

T6679813
Position Surface form Disambiguated ID Type / Status
Subject NP postcode area E151948 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object NP7 E84399 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: NP7 | Statement: [NP postcode area, hasPostcodeDistrict, NP7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NP7
Context triple: [NP postcode area, hasPostcodeDistrict, NP7]
  • A. NP7 chosen
    NP7 is a UK postal district within the NP (Newport) postcode area, covering Abergavenny and surrounding parts of Monmouthshire in south-east Wales.
  • B. PH-07
    PH-07 is the ISO 3166-2 code assigned to the Central Visayas administrative region of the Philippines.
  • C. N57
    N57 is a major Dutch roadway that runs across the Brouwersdam and other Delta Works structures, connecting coastal regions in the southwest of the Netherlands.
  • D. BN7
    BN7 is a UK postal district within the BN (Brighton) postcode area, covering parts of Lewes and its surrounding region in East Sussex.
  • E. No7
    No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b11df8d88190bf19fcb4e7a0bdb3 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a9fda4819096d4bd3e8133cecb completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.