Triple

T11494783
Position Surface form Disambiguated ID Type / Status
Subject Beit Hanina E272505 entity
Predicate hasRoadConnection P385 FINISHED
Object Route 60 E803552 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: Route 60 | Statement: [Beit Hanina, hasRoadConnection, Route 60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 60
Context triple: [Beit Hanina, hasRoadConnection, Route 60]
  • A. Route 60
    Route 60 is a major east–west freeway in Southern California that serves as a key commuter and freight corridor through the Inland Empire and Greater Los Angeles region.
  • B. Route 60 chosen
    Route 60 is a major north–south highway in Israel and the West Bank that connects key cities including Jerusalem, Hebron, and Nablus.
  • C. Route 62
    Route 62 is a regional roadway that serves as a key connector through parts of Massachusetts, including the area near West Concord.
  • D. Route 64
    Route 64 is a Chilean roadway that serves as a key regional connector in the Valparaíso area, linking the inland city of Quilpué with surrounding localities and major routes.
  • E. Route 606
    Route 606 is a highway that serves as a key transportation link to the Afghan border city of Zaranj.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de183f08190abfa36eaabc61dc6 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6048a05c88190968f7827c5dd5342 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.