Triple

T11806589
Position Surface form Disambiguated ID Type / Status
Subject Virginia State Route 130 E280760 entity
Predicate abbreviation P43 FINISHED
Object SR 130 E811421 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: SR 130 | Statement: [Virginia State Route 130, abbreviation, SR 130]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 130
Context triple: [Virginia State Route 130, abbreviation, SR 130]
  • A. SR 130 chosen
    SR 130 is a state highway in Maine that runs through Lincoln County, connecting inland communities to the Pemaquid Point area on the Atlantic coast.
  • B. SR 13
    SR 13 is a north–south state highway in Ohio that runs between the city of Mansfield and the village of Huron, passing through several counties in the north-central part of the state.
  • C. SR 135
    SR 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. SR 138
    SR 138 is a state highway in Georgia that runs east–west through several counties in the Atlanta metropolitan area, serving as a key regional connector.
  • E. SR 133
    SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166f16a908190803cc986ce596aa1 completed April 29, 2026, 2:03 a.m.
Created at: April 8, 2026, 9:42 p.m.