Triple
T19318688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles municipal elections |
E483162
|
entity |
| Predicate | historicalRunoffMonthBefore2015 |
P135576
|
FINISHED |
| Object | May |
—
|
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: May | Statement: [Los Angeles municipal elections, historicalRunoffMonthBefore2015, May]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRunoffMonthBefore2015 Context triple: [Los Angeles municipal elections, historicalRunoffMonthBefore2015, May]
-
A.
previousElectoralSystemUsedUntil
Indicates that a specified electoral system was in use up to (and including) a particular time or event, after which it was replaced or discontinued.
-
B.
previousElectionYear
Indicates the year in which the immediately preceding election for the same office, position, or body took place.
-
C.
primaryElectionMonth
Indicates the calendar month in which a primary election is held for a given political race or jurisdiction.
-
D.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
-
E.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:32 p.m.