Triple
T26909167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette Parish |
E677339
|
entity |
| Predicate | parishPresidentSeat |
P42007
|
FINISHED |
| Object | Lafayette |
—
|
NE NERFINISHED |
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: Lafayette | Statement: [Lafayette Parish, parishPresidentSeat, Lafayette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parishPresidentSeat Context triple: [Lafayette Parish, parishPresidentSeat, Lafayette]
-
A.
isParishSeatOf
chosen
Indicates that a location serves as the administrative center or main seat of government for a particular parish.
-
B.
isArchdioceseSeatOf
Indicates that a particular archdiocese serves as the central ecclesiastical jurisdiction and administrative seat for a specified church region or authority.
-
C.
municipalitySeat
Indicates that one entity serves as the administrative center or capital (seat) of a municipality.
-
D.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 6:01 a.m.