Triple
T19318681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles municipal elections |
E483162
|
entity |
| Predicate | termLimitsForMayor |
P541
|
FINISHED |
| Object | two 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 terms | Statement: [Los Angeles municipal elections, termLimitsForMayor, two terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLimitsForMayor Context triple: [Los Angeles municipal elections, termLimitsForMayor, two terms]
-
A.
mayoralReelectionLimit
Indicates the maximum number of times a person can be reelected to the office of mayor.
-
B.
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.
-
C.
hasMayorTerm
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
-
D.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
E.
termEndAsMayor
Indicates that an entity’s period of service in the role of mayor has concluded at a specified time or event.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d868dd48190b1439a5f4ff58c48 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.