Triple

T6422939
Position Surface form Disambiguated ID Type / Status
Subject Alabama Department of Transportation E127988 entity
Predicate abbreviation P43 FINISHED
Object ALDOT
ALDOT is the state agency responsible for planning, building, and maintaining Alabama’s transportation infrastructure, including highways and bridges.
 E592234 NE FINISHED

How this triple was built (4 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, abbreviation, ALDOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALDOT
Context triple: [Alabama Department of Transportation, abbreviation, ALDOT]
  • A. 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.
  • B. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • C. ALA
    ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
  • D. ALA
    ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • E. Bama
    Bama is an alternative name for the Bamar, the dominant ethnic group of Myanmar known for their significant cultural and political influence in the country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ALDOT
Triple: [Alabama Department of Transportation, abbreviation, ALDOT]
Generated description
ALDOT is the state agency responsible for planning, building, and maintaining Alabama’s transportation infrastructure, including highways and bridges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALDOT
Target entity description: ALDOT is the state agency responsible for planning, building, and maintaining Alabama’s transportation infrastructure, including highways and bridges.
  • A. 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.
  • B. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • C. ALA
    ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
  • D. ALA
    ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • E. Bama
    Bama is an alternative name for the Bamar, the dominant ethnic group of Myanmar known for their significant cultural and political influence in the country.
  • F. None of above. chosen

Provenance (5 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_69c640dc01188190b67290801aae0d6c completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c642d95c1481909c0bececbcef2929 completed March 27, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69c643579a388190a2b07669539bd9b7 completed March 27, 2026, 8:44 a.m.
Created at: March 22, 2026, 4:43 p.m.