Triple
T8519599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1884 United States presidential election |
E201662
|
entity |
| Predicate | newYorkOutcome |
P59870
|
FINISHED |
| Object | won by Grover Cleveland |
—
|
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: won by Grover Cleveland | Statement: [1884 United States presidential election, newYorkOutcome, won by Grover Cleveland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newYorkOutcome Context triple: [1884 United States presidential election, newYorkOutcome, won by Grover Cleveland]
-
A.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
B.
cityOutcome
Indicates the result, status, or consequence associated with a particular city in a given context.
-
C.
officeEndForMayorOfNewYorkCity
Indicates the date or point in time when a person’s term as Mayor of New York City ends.
-
D.
officeStartForMayorOfNewYorkCity
Indicates the date on which an individual begins their term in office as the Mayor of New York City.
-
E.
succeededBy (Governor of New York)
Indicates that one individual directly follows another in holding the office of Governor of New York.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe627de908190b463da0f26da4ffb |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.