Triple
T415418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treasure Island |
E9580
|
entity |
| Predicate | ownershipTransfer |
P12936
|
FINISHED |
| Object | from U.S. Navy to City and County of San Francisco |
—
|
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: from U.S. Navy to City and County of San Francisco | Statement: [Treasure Island, ownershipTransfer, from U.S. Navy to City and County of San Francisco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipTransfer Context triple: [Treasure Island, ownershipTransfer, from U.S. Navy to City and County of San Francisco]
-
A.
ownershipTransferredTo
chosen
Indicates that the legal or formal ownership of an entity has been transferred from one party to another specified party.
-
B.
functionTransferredTo
Indicates that a specific function, role, or responsibility has been moved from one entity to another.
-
C.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
D.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
E.
sharesOwnershipWith
Indicates that two or more entities jointly hold ownership rights or stakes in the same asset, resource, or organization.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.