Triple
T6452103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Talladega |
E139891
|
entity |
| Predicate | hasJudicialFunction |
P10526
|
FINISHED |
| Object | seat of Talladega County courts |
—
|
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: seat of Talladega County courts | Statement: [City of Talladega, hasJudicialFunction, seat of Talladega County courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJudicialFunction Context triple: [City of Talladega, hasJudicialFunction, seat of Talladega County courts]
-
A.
hadJudicialFunction
Indicates that an entity exercised or was assigned an official judicial role, authority, or responsibility in relation to another entity or context.
-
B.
hasJudiciary
chosen
Indicates that an entity possesses, is served by, or is under the authority of a judicial body or legal court system.
-
C.
hasJudicialOfficer
Indicates that an entity is associated with or served by a specific judicial officer (such as a judge or magistrate) responsible for legal or court-related functions.
-
D.
hasJudicialSeat
Indicates that an entity holds an official position or seat within a judicial body or court.
-
E.
heldJudicialPositionIn
Indicates that an entity served in an official judicial role or office within a specified jurisdiction or court.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b62cbc81908b7f1a0dc1ed3e1d |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:47 p.m.