Triple

T11847194
Position Surface form Disambiguated ID Type / Status
Subject Road 4 E281807 entity
Predicate hasJunctionWith P1018 FINISHED
Object Highway 70 unclear NED1 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: Highway 70 | Statement: [Road 4, hasJunctionWith, Highway 70]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highway 70
Context triple: [Road 4, hasJunctionWith, Highway 70]
  • A. Highway 70
    Highway 70 is a major north–south roadway in northern Israel that connects several key cities and junctions in the region.
  • B. Highway 40
    Highway 40 is a regional roadway in Ontario, Canada, that serves as a key transportation route through the municipality of Chatham-Kent.
  • C. Carretera Federal 70
    Carretera Federal 70 is a major Mexican federal highway that runs east–west across central Mexico, connecting several key cities and regions.
  • D. Highway 89
    Highway 89 is a major north–south U.S. route in the western United States known for its scenic stretches through national parks and natural landmarks.
  • E. Highway 89
    Highway 89 is a provincial highway in Ontario, Canada, that serves as a key east–west route connecting several communities in the south-central part of the province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65c72088190b8de9550c455b788 completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097554227481909668c26ea0bd1ea3 completed May 17, 2026, 7:59 a.m.
Created at: April 8, 2026, 9:43 p.m.