Triple
T4970119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvaton, Georgia |
E111627
|
entity |
| Predicate | hasLocalGovernmentStatus |
P37705
|
FINISHED |
| Object | unincorporated |
—
|
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: unincorporated | Statement: [Alvaton, Georgia, hasLocalGovernmentStatus, unincorporated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentStatus Context triple: [Alvaton, Georgia, hasLocalGovernmentStatus, unincorporated]
-
A.
hasLocalGovernmentBody
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
-
B.
hasLocalGovernmentAreaStatus
Indicates that an entity holds the official designation or recognition as a local government area within a defined administrative system.
-
C.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
-
D.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
E.
isMunicipalStatus
chosen
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.