Triple
T4110513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siler City, North Carolina |
E88560
|
entity |
| Predicate | hasLocalGovernmentOfficial |
P41965
|
FINISHED |
| Object | mayor of Siler City |
—
|
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: mayor of Siler City | Statement: [Siler City, North Carolina, hasLocalGovernmentOfficial, mayor of Siler City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentOfficial Context triple: [Siler City, North Carolina, hasLocalGovernmentOfficial, mayor of Siler City]
-
A.
hasLocalGovernmentBody
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
-
B.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
-
C.
hasPoliticalOfficeScope
Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
-
D.
governmentServed
Indicates that a person has held a position serving in or working for a particular government.
-
E.
associatedWithGovernmentOfficial
chosen
Indicates a relationship in which an entity has a connection, involvement, or affiliation with a government official.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.