Triple
T37332462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agua Caliente Casino Palm Springs |
E926789
|
entity |
| Predicate | ethnicAffiliationOfOwner |
P94806
|
FINISHED |
| Object | Cahuilla |
—
|
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: Cahuilla | Statement: [Agua Caliente Casino Palm Springs, ethnicAffiliationOfOwner, Cahuilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicAffiliationOfOwner Context triple: [Agua Caliente Casino Palm Springs, ethnicAffiliationOfOwner, Cahuilla]
-
A.
ethnicGroupOwnership
chosen
Indicates a relationship where ownership, control, or possession of something is attributed to a specific ethnic group.
-
B.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
C.
raceOfBearers
Indicates the racial or ethnic group to which the bearers (individuals or entities) belong.
-
D.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
E.
ethnicityOfNominee
Indicates the ethnic background or group to which the nominee belongs.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 3, 2026, 4:16 p.m.