Triple

T4616115
Position Surface form Disambiguated ID Type / Status
Subject ISO Technical Management Board E100871 entity
Predicate abbreviation P43 FINISHED
Object TMB E100877 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: TMB | Statement: [ISO Technical Management Board, abbreviation, TMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TMB
Context triple: [ISO Technical Management Board, abbreviation, TMB]
  • A. TMB chosen
    TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
  • B. TMB 2000 series
    The TMB 2000 series is a class of electric multiple unit trains used on the Barcelona Metro, designed for high-capacity urban rapid transit service.
  • C. TMB 7000 series
    The TMB 7000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
  • D. TMB 5000 series
    The TMB 5000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
  • E. TMB 3000 series
    The TMB 3000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59df3c3c8190be5db000f831d322 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa8da23881909ba4a70e9697f260 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.