Triple

T11743367
Position Surface form Disambiguated ID Type / Status
Subject State Route 143 E279208 entity
Predicate abbreviation P43 FINISHED
Object SR 143 E907837 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 143 | Statement: [State Route 143, abbreviation, SR 143]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 143
Context triple: [State Route 143, abbreviation, SR 143]
  • A. SR 143 chosen
    SR 143 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. SR 143
    SR 143 is a short Arizona state highway in the Phoenix metropolitan area that primarily serves as a connector between Interstate 10 and Phoenix Sky Harbor International Airport.
  • C. SR 14
    SR 14 is a state highway in Georgia that serves as a key transportation route connecting several communities in the western part of the state.
  • D. SR 14
    SR 14 is a major north–south California state highway connecting Los Angeles to the high desert and serving as a key route through the Antelope Valley.
  • E. SR 14
    SR 14 is a state highway in Washington that runs along the Columbia River in the southern part of the state, serving as an important east–west transportation corridor.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0902f8c448190a71512353788ef09 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.