Triple
T38626172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodhouse Park ward |
E937015
|
entity |
| Predicate | legislativeBodyRepresentedIn |
P170172
|
FINISHED |
| Object | Manchester City Council |
—
|
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: Manchester City Council | Statement: [Woodhouse Park ward, legislativeBodyRepresentedIn, Manchester City Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeBodyRepresentedIn Context triple: [Woodhouse Park ward, legislativeBodyRepresentedIn, Manchester City Council]
-
A.
legislativeBodyWith
chosen
Indicates that one entity serves as the legislative body associated with, or having authority over, another entity.
-
B.
legislativeBodyMemberOf
Indicates that an individual serves as a member of a specified legislative body or assembly.
-
C.
stateLegislativeBodyServedIn
Indicates the specific state-level legislative body in which an individual has served as a member.
-
D.
legislativeBodyOf
Indicates that one entity is the official legislative body (lawmaking assembly) of another entity, typically a political unit such as a country, state, or city.
-
E.
legislatureTypeServed
Indicates the type of legislative body in which an entity has served (e.g., national, state, or local legislature).
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.