Triple
T27025760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Los Angeles council district system |
E680778
|
entity |
| Predicate | eachDistrictRepresentedBy |
P38391
|
FINISHED |
| Object | one councilmember |
—
|
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: one councilmember | Statement: [City of Los Angeles council district system, eachDistrictRepresentedBy, one councilmember]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachDistrictRepresentedBy Context triple: [City of Los Angeles council district system, eachDistrictRepresentedBy, one councilmember]
-
A.
eachDistrictElects
chosen
Indicates that every electoral district selects or chooses its own representative or set of representatives.
-
B.
numberOfLegislativeDistrictsRepresented
Indicates the count of distinct legislative districts that an entity represents.
-
C.
provinceRepresented
Indicates that an entity (such as a person or office) serves as the official representative of a particular province.
-
D.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
E.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6223131b0819081deea3d5ed98ea5 |
completed | May 2, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:11 a.m.