Triple

T17787295
Position Surface form Disambiguated ID Type / Status
Subject State Route 57 E444050 entity
Predicate abbreviation P43 FINISHED
Object Route 57 NE NERFINISHED

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 57 | Statement: [State Route 57, abbreviation, Route 57]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 57
Context triple: [State Route 57, abbreviation, Route 57]
  • A. Route 57 chosen
    Route 57 is a major north–south freeway in Southern California that connects Orange County to the Pomona area and serves as a key commuter and regional traffic corridor.
  • B. Route 58
    Route 58 is a major highway running through Okinawa, Japan, serving as a key transportation artery that connects several cities and coastal areas on the island.
  • C. Route 55
    Route 55 is a major limited-access highway in southern New Jersey that serves as a key commuter and regional connector through Gloucester County and surrounding areas.
  • D. Route 52
    Route 52 is a rural highway in New Zealand that links several small communities in the lower North Island.
  • E. Route 52
    Route 52 is a metro line in Amsterdam that forms part of the city’s North–South Line, connecting the northern and southern districts through the city center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48794542c8190b049bce6e28c9f3a completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.