Triple

T14539295
Position Surface form Disambiguated ID Type / Status
Subject Yellow Pages E341126 entity
Predicate relatedTo P37 FINISHED
Object White Pages E478392 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: White Pages | Statement: [Yellow Pages, relatedTo, White Pages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Pages
Context triple: [Yellow Pages, relatedTo, White Pages]
  • A. Yellow Pages
    Yellow Pages is a traditional printed and online business directory service that organizes companies and services by category for consumer reference.
  • B. Whitepages chosen
    Whitepages is a widely used online directory service that provides contact and background information on individuals and businesses.
  • C. Bluepages
    Bluepages is the introductory section of The Bluebook that provides simplified legal citation rules tailored for practitioners, students, and non-academic legal writing.
  • D. Rolodex
    Rolodex is a rotating desktop card index device used to organize and quickly access contact information on individual cards.
  • E. Public Address Book
    Public Address Book is an alternative name for the Domino Directory, IBM Notes/Domino’s central database for storing user, group, and server information used for mail routing and directory services.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.