Triple

T21705003
Position Surface form Disambiguated ID Type / Status
Subject Pons HP 40 E535749 entity
Predicate sponsor P67 FINISHED
Object Paginas Amarillas 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: Paginas Amarillas | Statement: [Pons HP 40, sponsor, Paginas Amarillas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paginas Amarillas
Context triple: [Pons HP 40, sponsor, Paginas Amarillas]
  • A. Yellow Pages chosen
    Yellow Pages is a traditional printed and online business directory service that organizes companies and services by category for consumer reference.
  • B. Bluepages
    Bluepages is the introductory section of The Bluebook that provides simplified legal citation rules tailored for practitioners, students, and non-academic legal writing.
  • C. Global Resource Directory
    Global Resource Directory is a centralized system that maintains and provides access to information about distributed resources and services across a global computing environment.
  • D. GMB
    GMB is the three-letter ISO 3166-1 alpha-3 country code assigned to The Gambia.
  • E. GMB
    GMB is the National Rail station code assigned to Grimsby Town railway station in Lincolnshire, England.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52e4b84819095a24cc9fdca2b8a completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.