Triple
T2447034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California tidelands |
E53617
|
entity |
| Predicate | canBeGrantedTo |
P168
|
FINISHED |
| Object | local governments as trust grantees |
—
|
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: local governments as trust grantees | Statement: [California tidelands, canBeGrantedTo, local governments as trust grantees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeGrantedTo Context triple: [California tidelands, canBeGrantedTo, local governments as trust grantees]
-
A.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
B.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
C.
isGrantedFor
Indicates that a permission, right, or benefit has been formally given to a specific entity for a particular purpose or use.
-
D.
canBeAssignedTo
Indicates that one entity is eligible or permitted to be allocated, designated, or linked to another entity for a particular purpose or role.
-
E.
cannotGrant
Indicates that an entity lacks the authority, permission, or ability to confer a requested right, access, or resource to 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcabf477081908512df63ac1a6414 |
completed | March 7, 2026, 6:50 a.m. |
| PD | Predicate disambiguation | batch_69abc5ad8e588190b97c4cd7cf575043 |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.