Triple

T21942348
Position Surface form Disambiguated ID Type / Status
Subject Khammouane Province E541851 entity
Predicate hasTransportRoute P11026 FINISHED
Object Route 13 — 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 13 | Statement: [Khammouane Province, hasTransportRoute, Route 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 13
Context triple: [Khammouane Province, hasTransportRoute, Route 13]
  • A. Route 13
    Route 13 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
  • B. Route 13 chosen
    Route 13 is a major north–south highway in Laos that serves as the country’s primary transportation artery, connecting key cities and regions including the capital area.
  • C. Route 130
    Route 130 is a major north–south state highway in New Jersey that serves as an important alternative to the New Jersey Turnpike and U.S. Route 1 for regional traffic.
  • D. Route 131
    Route 131 is a provincial highway in Quebec, Canada, that serves as a key north–south transportation corridor through the Lanaudière region.
  • E. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242345dc8190aa6ddf61cf864e2d completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.