Triple
T28493077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community Service Organization |
E721027
|
entity |
| Predicate | stateFocus |
P77291
|
FINISHED |
| Object | California |
—
|
NE NERFINISHED |
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: California | Statement: [Community Service Organization, stateFocus, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateFocus Context triple: [Community Service Organization, stateFocus, California]
-
A.
stateOfFocus
chosen
Indicates the particular subject, area, or activity that an entity is currently concentrating attention or effort on.
-
B.
keyStateFocus
Indicates that a particular key or keyboard input currently has focus or is the active target for input events.
-
C.
locationFocus
Indicates that the primary or most relevant location associated with an entity, event, or relation is being specified or emphasized.
-
D.
stateForm
Indicates that an entity has the political or constitutional form of a particular state or system of government.
-
E.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 28, 2026, 3:02 a.m.