Triple
T20658786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler, Georgia |
E507699
|
entity |
| Predicate | localGovernmentRole |
P81461
|
FINISHED |
| Object | seat of Taylor County government |
—
|
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 Taylor County government | Statement: [Butler, Georgia, localGovernmentRole, seat of Taylor County government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localGovernmentRole Context triple: [Butler, Georgia, localGovernmentRole, seat of Taylor County government]
-
A.
districtRole
Indicates that an entity holds a specific role, function, or position within a particular district.
-
B.
urbanPolicyRole
Indicates a role or responsibility that an entity has in shaping, implementing, or influencing urban policy.
-
C.
governmentalRole
Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
-
D.
hasLocalGovernanceRole
chosen
Indicates that an entity holds an official position or responsibility within a local or municipal governing body.
-
E.
cityGovernment
Indicates that a city’s governing authority has jurisdiction, control, or administrative responsibility over the referenced entity.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eefd5c8190a71d4be690a6ae0e |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.