Triple

T2381489
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 14 E46320 entity
Predicate rollingStock P1305 FINISHED
Object MP 05 E206992 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: MP 05 | Statement: [Paris Métro Line 14, rollingStock, MP 05]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MP 05
Context triple: [Paris Métro Line 14, rollingStock, MP 05]
  • A. MP 05 chosen
    MP 05 is a rubber-tyred, fully automated train model used on the Paris Métro, notably on Line 1 and Line 14.
  • B. MP 14
    MP 14 is a modern rubber-tyred train model used on the Paris Métro, designed for improved energy efficiency, automation, and passenger comfort.
  • C. M5
    M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
  • D. MP 89
    MP 89 is a rubber-tyred Paris Métro train model introduced in the 1990s, known for its modern design, automated operation on some lines, and improved passenger comfort and capacity.
  • E. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b98c988190abdb4fe51bf65bde completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8b4f85c81909e5a4eda271b73ca completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.