Triple
T7626688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvern |
E172651
|
entity |
| Predicate | hasMunicipalCouncillor |
P16764
|
FINISHED |
| Object | Toronto city councillor for Scarborough North |
—
|
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: Toronto city councillor for Scarborough North | Statement: [Malvern, hasMunicipalCouncillor, Toronto city councillor for Scarborough North]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalCouncillor Context triple: [Malvern, hasMunicipalCouncillor, Toronto city councillor for Scarborough North]
-
A.
hasCouncilSeat
chosen
Indicates that an entity holds a position or seat on a governing council.
-
B.
hasCityCouncil
Indicates that an entity is governed or administered by a specific city council.
-
C.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
D.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
E.
hasMemberOfParliament
Indicates that an entity is represented by a specific individual serving as its Member of Parliament.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.