Triple
T7756046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City mayoral elections |
E175897
|
entity |
| Predicate | firstRegularElectionHeld |
P15306
|
FINISHED |
| Object | 1898 |
—
|
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: 1898 | Statement: [New York City mayoral elections, firstRegularElectionHeld, 1898]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRegularElectionHeld Context triple: [New York City mayoral elections, firstRegularElectionHeld, 1898]
-
A.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
B.
firstConstitutionalElectionsHeld
Indicates that the first elections conducted under a new or newly adopted constitution have taken place.
-
C.
firstElectionUnder
Indicates that an election was the first one conducted under a particular rule, system, constitution, or governing framework.
-
D.
firstDemocraticElectionDate
Indicates the date on which an entity held its first election conducted under a democratic system.
-
E.
firstElectionYear
chosen
Indicates the calendar year in which an entity (such as a person, office, or political body) first participated in or was subject to an 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.