Triple
T4281232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Yorkshire Mayoral Combined Authority |
E97153
|
entity |
| Predicate | hasElectedMayorSince |
P17454
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [South Yorkshire Mayoral Combined Authority, hasElectedMayorSince, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectedMayorSince Context triple: [South Yorkshire Mayoral Combined Authority, hasElectedMayorSince, 2018]
-
A.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
B.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
C.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
D.
hasCityManager
Indicates that an entity has a specific individual who serves in the role of city manager for it.
-
E.
mayoralTermStart
chosen
Indicates the date or point in time when an individual's tenure as mayor officially begins.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35037b654819087abbb5ea231eefd |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.