Triple

T22524952
Position Surface form Disambiguated ID Type / Status
Subject Les Sablons (Paris Métro) E556873 entity
Predicate servedByRollingStock P5426 FINISHED
Object MP 89 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: MP 89 | Statement: [Les Sablons (Paris Métro), servedByRollingStock, MP 89]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MP 89
Context triple: [Les Sablons (Paris Métro), servedByRollingStock, MP 89]
  • A. MP 89 chosen
    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.
  • B. MP 73
    MP 73 is a rubber-tyred electric multiple unit train type used on the Paris Métro, introduced in the 1970s and known for operating on several elevated and automated lines.
  • C. MP 43
    MP 43 is an early German World War II assault rifle prototype that evolved into the famous Sturmgewehr 44, one of the first true assault rifles in history.
  • D. MP 59
    MP 59 is a rubber-tyred Paris Métro train model introduced in the late 1950s and used for decades on several lines before being gradually retired.
  • E. MP 05
    MP 05 is a rubber-tyred, fully automated train model used on the Paris Métro, notably on Line 1 and Line 14.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e356b4081909d1ce911bd35fe68 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:51 p.m.