Triple
T11459139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agua Caliente Band of Cahuilla Indians |
E271606
|
entity |
| Predicate | landOwnershipPattern |
P27560
|
FINISHED |
| Object | checkerboard pattern |
—
|
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: checkerboard pattern | Statement: [Agua Caliente Band of Cahuilla Indians, landOwnershipPattern, checkerboard pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landOwnershipPattern Context triple: [Agua Caliente Band of Cahuilla Indians, landOwnershipPattern, checkerboard pattern]
-
A.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
B.
landholderIn
Indicates that one entity holds legal or recognized ownership or tenancy rights over land located within the jurisdiction or bounds of another entity.
-
C.
landholdings
Indicates the extent or collection of land owned, controlled, or held by an entity.
-
D.
hasLandOwnershipMix
chosen
Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
-
E.
majorLandowner
Indicates that one entity owns a large or dominant portion of land in relation to another entity or area.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.