Triple

T20664922
Position Surface form Disambiguated ID Type / Status
Subject Toulouse Metro Line A E507858 entity
Predicate rollingStock P1305 FINISHED
Object VAL 206 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: VAL 206 | Statement: [Toulouse Metro Line A, rollingStock, VAL 206]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAL 206
Context triple: [Toulouse Metro Line A, rollingStock, VAL 206]
  • A. VAL 206 chosen
    VAL 206 is a type of automated light metro train used on systems such as the Lille Metro’s Line 2.
  • B. VAL 208
    VAL 208 is a type of fully automated, rubber-tyred light metro train used on systems such as the Turin Metro.
  • C. VA261
    VA261 was the final mission of the Ariane 5 ECA heavy-lift launch vehicle, marking the end of Ariane 5’s operational service.
  • D. VALIC
    VALIC is a financial services company specializing in retirement planning and annuity products, operating as a brand of American International Group (AIG).
  • E. VF-6
    VF-6 is a designation commonly used for a U.S. Navy fighter squadron, historically associated with carrier-based aviation units.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.