Triple

T32936132
Position Surface form Disambiguated ID Type / Status
Subject Many, Louisiana E842531 entity
Predicate isParishSeat P42007 FINISHED
Object true 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: true | Statement: [Many, Louisiana, isParishSeat, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isParishSeat
Context triple: [Many, Louisiana, isParishSeat, true]
  • A. isParishSeatOf chosen
    Indicates that a location serves as the administrative center or main seat of government for a particular parish.
  • B. isInParishSeat
    Indicates that an entity is located within the administrative center (parish seat) of a given parish.
  • C. hasParishGovernmentSeat
    Indicates that a parish serves as the administrative or governmental seat for a specified jurisdiction or governing body.
  • D. isParishEquivalent
    Indicates that one administrative or ecclesiastical unit is considered equivalent in status or function to a parish.
  • E. isDiocesanSeatOf
    Indicates that a location serves as the central administrative seat or headquarters of a particular diocese.
  • 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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fef3ceef648190b58027c93d757438 completed May 9, 2026, 8:43 a.m.
PD Predicate disambiguation batch_69fef359da2c819091a034387b08821f completed May 9, 2026, 8:42 a.m.
Created at: May 1, 2026, 1:20 a.m.