Triple

T12586229
Position Surface form Disambiguated ID Type / Status
Subject M-96 E300468 entity
Predicate isSignedAs P9766 FINISHED
Object M-96 E992636 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: M-96 | Statement: [M-96, isSignedAs, M-96]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-96
Context triple: [M-96, isSignedAs, M-96]
  • A. M-96 chosen
    M-96 is a state highway in Michigan that runs east–west across the southwestern part of the state, connecting several communities and major routes.
  • B. M-91
    M-91 is a state trunkline highway in Michigan that runs through Montcalm County, connecting local communities to the broader state road network.
  • C. M9
    M9 is a major motorway in Scotland that connects Edinburgh to Stirling and the Highlands, forming part of the country’s primary north–south road network.
  • D. M-97
    M-97 is a state highway in Michigan that serves as a key transportation route through the Detroit metropolitan area, including Warren.
  • E. M-119
    M-119 is a scenic state highway in northern Michigan renowned for its winding "Tunnel of Trees" route along the Lake Michigan shoreline.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668656d5c819098f9824febf79712 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:05 p.m.