Triple
T24293960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 New York City mayoral election |
E605903
|
entity |
| Predicate | wasThreeWayRace |
P97636
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1969 New York City mayoral election, wasThreeWayRace, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasThreeWayRace Context triple: [1969 New York City mayoral election, wasThreeWayRace, true]
-
A.
isThreeWayRace
chosen
Indicates that a race or competition involves exactly three participants or entities competing against each other.
-
B.
racedAs
Indicates that one entity participated in a race or competition under the identity, name, or classification of another entity.
-
C.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
D.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
E.
hasThirdRound
Indicates that an entity includes, participates in, or is associated with a third round within a multi-round process or sequence.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915870c8819089c14de19ba2a5c5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.