Triple
T36605655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lannan Indigenous Communities Program |
E903036
|
entity |
| Predicate | countryOfSponsor |
P17912
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Lannan Indigenous Communities Program, countryOfSponsor, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSponsor Context triple: [Lannan Indigenous Communities Program, countryOfSponsor, United States]
-
A.
countryOfPatronage
chosen
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
B.
sponsorNationality
Indicates that an entity acts as a sponsor and has the specified nationality.
-
C.
stateOfSponsor
Indicates the current status or condition of a sponsor in relation to the sponsored entity or activity.
-
D.
organizerCountry
Indicates the country that serves as the organizer or host for an event, activity, or initiative.
-
E.
countryOfStrongAssociation
Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
- F. None of above.
Provenance (4 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0317eaf4e88190a6f6419cb4ef7547 |
completed | May 12, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dde484984819097c955ca20e0d620 |
completed | June 26, 2026, 2:04 a.m. |
| PD | Predicate disambiguation | batch_6a03179da394819095e3d346c3785d74 |
completed | May 12, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.