Triple
T8356372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles County government |
E196689
|
entity |
| Predicate | isGovernmentOf |
P52548
|
FINISHED |
| Object | most populous county in the United States |
—
|
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: most populous county in the United States | Statement: [Los Angeles County government, isGovernmentOf, most populous county in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGovernmentOf Context triple: [Los Angeles County government, isGovernmentOf, most populous county in the United States]
-
A.
governmentOf
chosen
Indicates that one entity serves as the governing authority or administrative body of another entity, typically a state, region, or organization.
-
B.
isPartOfGovernment
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
-
C.
isGovernmentFlag
Indicates that something is the official flag used by a government as its national or state symbol.
-
D.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
E.
inGovernmentFrom
Indicates that an entity holds or has held a government position or role starting from a specified point in time.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804a344c819089c0a13fe66e3088 |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.