Triple

T10141289
Position Surface form Disambiguated ID Type / Status
Subject Kiryat Tiv'on E231588 entity
Predicate roadAccess P385 FINISHED
Object Highway 70 E555414 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: [Kiryat Tiv'on, roadAccess, Highway 70]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highway 70
Context triple: [Kiryat Tiv'on, roadAccess, Highway 70]
  • A. Highway 70 chosen
    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. 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.
  • D. Colorado State Highway 78
    Colorado State Highway 78 is a state-maintained roadway in Colorado that connects rural communities and scenic mountain areas in the southern part of the state.
  • E. Colorado State Highway 71
    Colorado State Highway 71 is a long north–south state highway in eastern Colorado that runs through largely rural and agricultural areas, connecting small towns and serving as a regional link between major routes.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b0e4eac8190af28db3d334852cb completed April 10, 2026, 9:26 p.m.
Created at: March 30, 2026, 9:07 p.m.