Triple
T36717897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māori incorporations |
E906962
|
entity |
| Predicate | canBorrow |
P7921
|
FINISHED |
| Object | money for development projects |
—
|
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: money for development projects | Statement: [Māori incorporations, canBorrow, money for development projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBorrow Context triple: [Māori incorporations, canBorrow, money for development projects]
-
A.
canBorrowFrom
Indicates that one entity is permitted or able to borrow something (such as resources, items, or privileges) from another entity.
-
B.
canBring
Indicates that one entity has the ability or permission to bring another entity or item to a particular place or context.
-
C.
canPayFor
Indicates that one entity has the ability or sufficient resources to cover the cost or expense of another entity.
-
D.
canEarnOn
Indicates that an entity is able or permitted to receive or generate earnings from another entity, source, or activity.
-
E.
eligibleBorrower
chosen
Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c841388481909a408b704b30f9c7 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.