Triple

T2024545
Position Surface form Disambiguated ID Type / Status
Subject Pittsburgh Platform E44177 entity
Predicate followedBy P78 FINISHED
Object Columbus Platform E44178 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: Columbus Platform | Statement: [Pittsburgh Platform, followedBy, Columbus Platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus Platform
Context triple: [Pittsburgh Platform, followedBy, Columbus Platform]
  • A. Columbus Platform chosen
    The Columbus Platform is a 1937 statement of principles that marked a major shift in Reform Judaism toward greater appreciation of Jewish peoplehood, tradition, and Zionism.
  • B. Cordova
    Cordova is a coastal municipality in Cebu, Philippines, located on Mactan Island and known for its mangrove forests, marine sanctuaries, and growing tourism industry.
  • C. Cordova
    Cordova is a small coastal town in south-central Alaska known for its fishing industry, remote setting, and proximity to the Chugach National Forest and Prince William Sound.
  • D. Embarcadero
    Embarcadero is a historic waterfront district in San Francisco known for its piers, ferry terminal, and scenic promenade along the bay.
  • E. Platform 6
    Platform 6 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f2cd5c8190b19da6f6aa2001d6 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afa82ac81908c3e3c60c5721536 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.