Triple
T27844612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimbus Fish Hatchery |
E703781
|
entity |
| Predicate | federalAgencyPartner |
P87176
|
FINISHED |
| Object | U.S. Bureau of Reclamation |
—
|
NE NERFINISHED |
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: U.S. Bureau of Reclamation | Statement: [Nimbus Fish Hatchery, federalAgencyPartner, U.S. Bureau of Reclamation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalAgencyPartner Context triple: [Nimbus Fish Hatchery, federalAgencyPartner, U.S. Bureau of Reclamation]
-
A.
collaboratingAgencies
Indicates that multiple agencies are working together in a coordinated manner toward shared goals or activities.
-
B.
governmentPartner
chosen
Indicates that one entity collaborates with or is formally partnered with a government or governmental body in some capacity.
-
C.
cooperatesFederallyWith
Indicates that one entity works jointly with another within a federal framework, sharing responsibilities, information, or resources to achieve common objectives.
-
D.
federalGovernmentEntity
Indicates that the subject is an organization or body that forms part of a national-level (federal) government structure.
-
E.
nearbyFederalAgency
Indicates that one federal agency is located geographically close to another federal agency.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 6:06 p.m.