Triple
T11557737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City local elections |
E274057
|
entity |
| Predicate | generalElectionDay |
P9219
|
FINISHED |
| Object | first Tuesday after the first Monday in 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: first Tuesday after the first Monday in November | Statement: [New York City local elections, generalElectionDay, first Tuesday after the first Monday in November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalElectionDay Context triple: [New York City local elections, generalElectionDay, first Tuesday after the first Monday in November]
-
A.
electionDate
chosen
Indicates the specific calendar date on which an election is scheduled to be or was held.
-
B.
generalElectionMonth
Indicates the month during which a general election is scheduled to occur or took place.
-
C.
electionCalledDate
Indicates the date on which an election is officially announced or formally called.
-
D.
electionsScheduledFor
Indicates that a specific election is planned or set to occur at a particular time or for a particular entity.
-
E.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a888e8481909386009b9603e4d3 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.