Triple
T27882534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York's 17th congressional district |
E705128
|
entity |
| Predicate | holdsElectionsInMonth |
P78534
|
FINISHED |
| Object | November |
—
|
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: November | Statement: [New York's 17th congressional district, holdsElectionsInMonth, November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsElectionsInMonth Context triple: [New York's 17th congressional district, holdsElectionsInMonth, November]
-
A.
typicalElectionMonth
chosen
Indicates the month in which elections are customarily or most commonly held for a given place or electoral context.
-
B.
generalElectionMonth
Indicates the month during which a general election is scheduled to occur or took place.
-
C.
electionsHeldOn
Indicates that one or more elections took place on a specified date or set of dates.
-
D.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
-
E.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:31 p.m.