Triple

T22161746
Position Surface form Disambiguated ID Type / Status
Subject Western Pacific Railroad E547686 entity
Predicate abbreviation P43 FINISHED
Object WP 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: WP | Statement: [Western Pacific Railroad, abbreviation, WP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WP
Context triple: [Western Pacific Railroad, abbreviation, WP]
  • A. WP chosen
    WP is the reporting mark and common abbreviation for the Western Pacific Railroad, a historic American railroad that operated primarily in California and the western United States.
  • B. WPPT
    WPPT is an international treaty administered by WIPO that grants and harmonizes intellectual property rights for performers and producers of phonograms in the digital environment.
  • C. WPES
    WPES is the ACM Workshop on Privacy in the Electronic Society, a leading academic forum for research on privacy and security issues in digital environments.
  • D. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • E. WCP
    WCP is the abbreviation for the World’s Children’s Prize, a global educational and rights initiative that empowers children to learn about and support child rights and child-rights advocates.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2e47a88190a3b5c05398605f68 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.