Triple

T38062444
Position Surface form Disambiguated ID Type / Status
Subject Tallahassee City Charter E950377 entity
Predicate governmentFormSpecified P40139 FINISHED
Object city government of Tallahassee 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: city government of Tallahassee | Statement: [Tallahassee City Charter, governmentFormSpecified, city government of Tallahassee]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentFormSpecified
Context triple: [Tallahassee City Charter, governmentFormSpecified, city government of Tallahassee]
  • A. governmentFormDefined chosen
    Indicates that the specific form or structure of governance for an entity has been formally specified or classified.
  • B. governmentFormModeled
    Indicates that one government form is modeled after, or structurally based on, another government form.
  • C. governmentFormUnder
    Indicates that one governmental form or system operates under the authority, framework, or jurisdiction of another governmental form.
  • D. governmentFormBefore
    Indicates that one form of government existed prior to another form of government in a temporal sequence.
  • E. governmentFormServed
    Indicates that an entity has served in or held a position within a particular form or system of government.
  • 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_69f76f01e63c819093b6012fc974f35a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:21 p.m.