Triple
T28812894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braceville Township |
E727562
|
entity |
| Predicate | hasLocalGovernmentFunctions |
P185945
|
FINISHED |
| Object | road maintenance |
—
|
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: road maintenance | Statement: [Braceville Township, hasLocalGovernmentFunctions, road maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentFunctions Context triple: [Braceville Township, hasLocalGovernmentFunctions, road maintenance]
-
A.
hadLocalGovernmentFunction
Indicates that an entity previously exercised responsibilities or powers as a local governing authority within a specific area or jurisdiction.
-
B.
hasLocalSelfGovernment
Indicates that an entity possesses its own local governing authority with decision-making powers over local affairs.
-
C.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
-
D.
hasLocalGovernmentBody
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
-
E.
hasLocalGovernmentSystem
Indicates that an entity possesses or operates under a particular system or structure of local government.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: April 28, 2026, 6:31 a.m.