Triple
T7756045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City mayoral elections |
E175897
|
entity |
| Predicate | termLimitsForElectedOffice |
P541
|
FINISHED |
| Object | two consecutive terms |
—
|
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: two consecutive terms | Statement: [New York City mayoral elections, termLimitsForElectedOffice, two consecutive terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLimitsForElectedOffice Context triple: [New York City mayoral elections, termLimitsForElectedOffice, two consecutive terms]
-
A.
termLimitDefinedBy
chosen
Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
-
B.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
C.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
E.
officeHoldersNumberLimit
Indicates a constraint specifying the maximum number of individuals who may simultaneously hold a particular office or position.
- 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.