Triple
T24360532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exclusive Economic Zone of Peru |
E614042
|
entity |
| Predicate | givesRightsTo |
P168
|
FINISHED |
| Object | exploration of marine resources |
—
|
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: exploration of marine resources | Statement: [Exclusive Economic Zone of Peru, givesRightsTo, exploration of marine resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesRightsTo Context triple: [Exclusive Economic Zone of Peru, givesRightsTo, exploration of marine resources]
-
A.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
B.
acquiredRightsTo
Indicates that one entity has obtained legal or contractual ownership, control, or usage rights over something previously held by another entity.
-
C.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
-
D.
grantedAs
Indicates that one entity is conferred, assigned, or bestowed in a particular role, status, or capacity to another entity.
-
E.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29383ccb88190a4752fe7ccd93fd5 |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.