Triple

T6422968
Position Surface form Disambiguated ID Type / Status
Subject Alabama Department of Transportation E127988 entity
Predicate shortName P43 FINISHED
Object ALDOT E592234 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: ALDOT | Statement: [Alabama Department of Transportation, shortName, ALDOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALDOT
Context triple: [Alabama Department of Transportation, shortName, ALDOT]
  • A. ALDOT chosen
    ALDOT is the state agency responsible for planning, building, and maintaining Alabama’s transportation infrastructure, including highways and bridges.
  • B. S.D.Ala.
    S.D.Ala. is the standard legal abbreviation for the United States District Court for the Southern District of Alabama, a federal trial court within the Eleventh Circuit.
  • C. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • D. ALA
    ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
  • E. ALA
    ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0690576c48190b5db5464eacc9de3 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb9f03c8190a9e8e796dbb9330c completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:43 p.m.