Triple
T7630113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds—Grenville |
E172737
|
entity |
| Predicate | formerFederalElectoralDistrictNumber |
P78215
|
FINISHED |
| Object | 35039 |
—
|
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: 35039 | Statement: [Leeds—Grenville, formerFederalElectoralDistrictNumber, 35039]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFederalElectoralDistrictNumber Context triple: [Leeds—Grenville, formerFederalElectoralDistrictNumber, 35039]
-
A.
federalDistrictNumber
Indicates the specific numbered federal electoral or administrative district associated with an entity.
-
B.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
C.
representedElectoralDistrict
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
D.
federalElectoralDivision
Indicates that an entity is associated with, belongs to, or is located within a specific federal electoral division used for national parliamentary representation.
-
E.
locatedInFederalElectoralDistrict
Indicates that one entity is geographically situated within the boundaries of a specific federal electoral district.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:56 p.m.