Triple
T10762644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenfield Township, Fairfield County, Ohio |
E253867
|
entity |
| Predicate | isLocalGovernment |
P95854
|
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: [Greenfield Township, Fairfield County, Ohio, isLocalGovernment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocalGovernment Context triple: [Greenfield Township, Fairfield County, Ohio, isLocalGovernment, true]
-
A.
hasLocalGovernmentBody
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
-
B.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
-
C.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
D.
hasLocalGovernmentSystem
Indicates that an entity possesses or operates under a particular system or structure of local government.
-
E.
hasLocalGovernmentCode
Indicates that an entity is associated with a specific code assigned by a local government authority for identification or administrative purposes.
- F. None of above. chosen
Provenance (4 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a373708190ae5ac0c027a4014c |
completed | April 9, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.