Triple

T15980273
Position Surface form Disambiguated ID Type / Status
Subject MR-73 E387552 entity
Predicate fleetName P51381 FINISHED
Object MR-73 series E387552 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: MR-73 series | Statement: [MR-73, fleetName, MR-73 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MR-73 series
Context triple: [MR-73, fleetName, MR-73 series]
  • A. MR-73 chosen
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • B. MR-3
    MR-3 is the designation for Mercury-Redstone 3, the NASA mission that carried Alan Shepard on the first American crewed spaceflight in 1961.
  • C. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • D. M73
    M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
  • E. M-72
    M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157542cd88190832e7ae79bd38ffc completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.