Triple

T13450178
Position Surface form Disambiguated ID Type / Status
Subject Brunete E320587 entity
Predicate roadAccessVia P9041 FINISHED
Object M-501 E968988 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-501 | Statement: [Brunete, roadAccessVia, M-501]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-501
Context triple: [Brunete, roadAccessVia, M-501]
  • A. M-501 chosen
    M-501 is a major regional road in the Community of Madrid that connects Boadilla del Monte with other nearby municipalities and routes.
  • 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-506
    M-506 is a regional road in the Community of Madrid, Spain, that serves as a key connector for the municipality of Pinto and surrounding areas.
  • D. 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.
  • E. 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.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73999f8388190b2c578e063341178 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.