Triple
T34255507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 United States gubernatorial elections |
E878867
|
entity |
| Predicate | numberOfTerritoriesWithElections |
P19531
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2022 United States gubernatorial elections, numberOfTerritoriesWithElections, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTerritoriesWithElections Context triple: [2022 United States gubernatorial elections, numberOfTerritoriesWithElections, 3]
-
A.
numberOfElectionsHeld
Indicates the total count of elections that have been conducted for a given entity or context.
-
B.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
C.
numberOfPollingDistricts
Indicates the total count of polling districts associated with a given entity or area.
-
D.
electoralCountLocation
Indicates the place or jurisdiction in which an electoral vote count or tally is conducted or recorded.
-
E.
numberOfTerritories
chosen
Indicates the total count of territories associated with a given entity.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.