Triple

T31565385
Position Surface form Disambiguated ID Type / Status
Subject Lee County Port Authority E805395 entity
Predicate typeOfGovernmentAgency P86206 FINISHED
Object county agency LITERAL 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: county agency | Statement: [Lee County Port Authority, typeOfGovernmentAgency, county agency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfGovernmentAgency
Context triple: [Lee County Port Authority, typeOfGovernmentAgency, county agency]
  • A. typeOfGovernmentInstitution chosen
    Indicates that one entity is a government institution of the type or category specified by the other entity.
  • B. governmentalUnitType
    Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
  • C. typeOfGovernmentCenter
    Indicates the specific form or classification of governmental authority that a particular administrative center serves or represents.
  • D. governmentBodyType
    Indicates the classification or category of a governmental organization based on its structural or functional role.
  • E. targetGovernmentType
    Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
  • F. None of above.

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_69f348d2ee94819091918d1789398c29 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69ffecdcbac4819093b725a7dbe0e61b completed May 10, 2026, 2:26 a.m.
PD Predicate disambiguation batch_69ffec3633288190adbbd84e277708dc completed May 10, 2026, 2:23 a.m.
Created at: April 30, 2026, 10:17 p.m.