Triple

T2302958
Position Surface form Disambiguated ID Type / Status
Subject Trambesòs E51772 entity
Predicate operator P179 FINISHED
Object TRAM E249591 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: TRAM | Statement: [Trambesòs, operator, TRAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRAM
Context triple: [Trambesòs, operator, TRAM]
  • A. TRAM chosen
    TRAM is the public tramway operator that manages several modern light rail lines in the Barcelona metropolitan area.
  • B. TRAX
    TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
  • C. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • D. CAMTR
    CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
  • E. New Tram
    New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5f101dc8190824346e6ae564e51 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f332e788190b1dd4b8b0bbfe5d7 completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.