Triple
T19318699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles municipal elections |
E483162
|
entity |
| Predicate | numberOfCityCouncilDistricts |
P1679
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Los Angeles municipal elections, numberOfCityCouncilDistricts, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCityCouncilDistricts Context triple: [Los Angeles municipal elections, numberOfCityCouncilDistricts, 15]
-
A.
numberOfDistricts
chosen
Indicates the total count of districts associated with a given entity or area.
-
B.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
C.
numberOfDistrictMembers
Indicates the relationship that specifies how many members are associated with a given district.
-
D.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
-
E.
eachDistrictElects
Indicates that every electoral district selects or chooses its own representative or set of representatives.
- 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.