Triple
T36213990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vintry |
E1047636
|
entity |
| Predicate | hasCivicHead |
P123058
|
FINISHED |
| Object | Alderman of Vintry |
—
|
NE NERFINISHED |
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: Alderman of Vintry | Statement: [Vintry, hasCivicHead, Alderman of Vintry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivicHead Context triple: [Vintry, hasCivicHead, Alderman of Vintry]
-
A.
hasCivicLeader
Indicates that an entity serves as the civic leader (such as a mayor or equivalent public official) of another entity, typically a city or municipality.
-
B.
hasHeadOfLocalGovernment
chosen
Indicates that an administrative area is associated with the person who serves as its chief local government official.
-
C.
hasCivicFunction
Indicates that an entity performs, is responsible for, or is associated with an official public or civic role, duty, or service.
-
D.
hasCivicElements
Indicates that something includes or involves aspects related to civic life, responsibilities, or public affairs.
-
E.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:09 p.m.