Triple

T6569335
Position Surface form Disambiguated ID Type / Status
Subject New York City Subway 7 train E155392 entity
Predicate nickname P55 FINISHED
Object International Express E439014 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: International Express | Statement: [New York City Subway 7 train, nickname, International Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: International Express
Context triple: [New York City Subway 7 train, nickname, International Express]
  • A. International Express chosen
    International Express is a nickname for New York City's 7 subway line, known for serving diverse immigrant neighborhoods across Queens and connecting them to Manhattan.
  • B. UP Express
    UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
  • C. National Express
    National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
  • D. TNT Express
    TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
  • E. Universal Express
    Universal Express is a paid line-skipping system used at Universal theme parks to reduce wait times for popular attractions.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae56116c81909ab2fc0877363406 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb964fe48190a28fc50426d7c5d4 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.