Triple
T17609332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoopa Valley Indian Reservation |
E428925
|
entity |
| Predicate | hasLandOwnershipType |
P7585
|
FINISHED |
| Object | tribal trust land |
—
|
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: tribal trust land | Statement: [Hoopa Valley Indian Reservation, hasLandOwnershipType, tribal trust land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandOwnershipType Context triple: [Hoopa Valley Indian Reservation, hasLandOwnershipType, tribal trust land]
-
A.
hasLandOwnershipMix
Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
-
B.
hasLandholdingsIn
Indicates that an entity owns or controls land or property located within a specified geographic area.
-
C.
hasLandStatus
Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
-
D.
ownershipType
chosen
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
E.
hasLandAllotmentDescribedIn
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4e6ba48190804e113983e7c704 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.