Triple

T17359376
Position Surface form Disambiguated ID Type / Status
Subject M-V rocket E422027 entity
Predicate abbreviation P43 FINISHED
Object M-5 NE ONNED1

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: M-5 | Statement: [M-V rocket, abbreviation, M-5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-5
Context triple: [M-V rocket, abbreviation, M-5]
  • A. M-5 chosen
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • B. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • C. M-50
    M-50 is a state trunkline highway in Michigan that runs east–west across the southern part of the state, connecting several communities and major routes.
  • D. M-55
    M-55 is a state trunkline highway in Michigan that runs east–west across the northern Lower Peninsula, connecting several communities including the city of Manistee.
  • E. M-52
    M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4be7448190988593ee342348c1 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955e4cb481909e3193439bb85cd8 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.