Triple
T3716595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles City Council District 4 |
E81544
|
entity |
| Predicate | positionInCouncil |
P11005
|
FINISHED |
| Object | one of 15 Los Angeles City Council districts |
—
|
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 of 15 Los Angeles City Council districts | Statement: [Los Angeles City Council District 4, positionInCouncil, one of 15 Los Angeles City Council districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCouncil Context triple: [Los Angeles City Council District 4, positionInCouncil, one of 15 Los Angeles City Council districts]
-
A.
positionOnCouncils
Indicates that an entity holds a seat or role as a member on one or more councils.
-
B.
roleInCouncil
chosen
Indicates that an entity holds a specific position or function within a council or governing body.
-
C.
hasCouncilSeat
Indicates that an entity holds a position or seat on a governing council.
-
D.
seatOfCouncil
Indicates that a location serves as the official meeting place or headquarters of a council.
-
E.
rankInStateCouncil
Indicates the position or level an individual holds within a specific state's council hierarchy.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.