Triple

T8457451
Position Surface form Disambiguated ID Type / Status
Subject MP 89 E199955 entity
Predicate hasVariant P455 FINISHED
Object MP 89 CC E206991 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 89 CC | Statement: [MP 89, hasVariant, MP 89 CC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MP 89 CC
Context triple: [MP 89, hasVariant, MP 89 CC]
  • 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. M89
    M89 is an elliptical galaxy in the constellation Virgo, notable as one of the bright members of the Virgo Cluster.
  • C. 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.
  • D. 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.
  • E. M998
    The M998 is a basic cargo and troop carrier version of the U.S. military's High Mobility Multipurpose Wheeled Vehicle (HMMWV) family.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49064f881909391d565b97e9886 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.