Triple
T30186970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull–Aylmer |
E767361
|
entity |
| Predicate | electoralDistrictCode |
P153636
|
FINISHED |
| Object | QC Hull–Aylmer |
—
|
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: QC Hull–Aylmer | Statement: [Hull–Aylmer, electoralDistrictCode, QC Hull–Aylmer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralDistrictCode Context triple: [Hull–Aylmer, electoralDistrictCode, QC Hull–Aylmer]
-
A.
electorateCode
chosen
Indicates the specific electoral district or constituency code associated with an entity in an election context.
-
B.
partOfElectoralDistrictType
Indicates that one entity is a component or subdivision of a specified type of electoral district.
-
C.
hasElectoralDistrictNumber
Indicates that an electoral district is associated with a specific identifying number within an electoral system.
-
D.
representedElectoralDistrict
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
E.
hasCongressionalDistrictCode
Indicates that an entity is associated with a specific congressional district identified by a particular district code.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: April 29, 2026, 7:27 p.m.