Triple

T11583299
Position Surface form Disambiguated ID Type / Status
Subject I-696 E274683 entity
Predicate hasJunctionWith P1018 FINISHED
Object M-53 in Warren E300464 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-53 in Warren | Statement: [I-696, hasJunctionWith, M-53 in Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-53 in Warren
Context triple: [I-696, hasJunctionWith, M-53 in Warren]
  • A. M-53 chosen
    M-53 is a state highway in Michigan that runs north–south through the Detroit metropolitan area and into Michigan’s Thumb region.
  • B. M53
    M53 is a major motorway in North West England that connects the Wirral Peninsula with the M56 near Chester, facilitating regional traffic flow.
  • C. M59
    M59 is an elliptical galaxy located in the constellation Virgo and is one of the prominent members of the Virgo Cluster.
  • 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-5
    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.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904db5748190ae5f10ae86ccdf46 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7142d442c8190a48372e0e17db517 completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.