Triple
T5879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester |
E114
|
entity |
| Predicate | hasMayorType |
P174
|
FINISHED |
| Object | Leader of the council |
—
|
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: Leader of the council | Statement: [Manchester, hasMayorType, Leader of the council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMayorType Context triple: [Manchester, hasMayorType, Leader of the council]
-
A.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
B.
mayorType
chosen
Indicates the specific category or role classification of a mayor in relation to their office or jurisdiction.
-
C.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
D.
incorporatedAsCity
Indicates that an entity was formally established and legally recognized as a city.
-
E.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a2421836f08190b54fc40edeb1a96b |
completed | Feb. 28, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69a23fe064c881909496fd0e6b0e18d7 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.