Triple
T27134082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 United States gubernatorial elections |
E681634
|
entity |
| Predicate | numberOfStatesHoldingElections |
P121941
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [1996 United States gubernatorial elections, numberOfStatesHoldingElections, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStatesHoldingElections Context triple: [1996 United States gubernatorial elections, numberOfStatesHoldingElections, 11]
-
A.
numberOfElectionsHeld
Indicates the total count of elections that have been conducted for a given entity or context.
-
B.
numberOfStatesHoldingContests
chosen
Indicates the count of distinct states that are conducting or have conducted the specified contests.
-
C.
numberOfStatesRepresented
Indicates how many distinct states are represented or covered in a given context or entity.
-
D.
stateOfElection
Indicates the current status or phase of an election process (e.g., planned, ongoing, completed, or canceled).
-
E.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 27, 2026, 9:06 a.m.