Triple
T33635284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eccles family foundations |
E861673
|
entity |
| Predicate | majorBeneficiaryRegion |
P3060
|
FINISHED |
| Object | state of Utah |
—
|
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: state of Utah | Statement: [Eccles family foundations, majorBeneficiaryRegion, state of Utah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBeneficiaryRegion Context triple: [Eccles family foundations, majorBeneficiaryRegion, state of Utah]
-
A.
beneficiaryRegion
chosen
Indicates the region that receives the benefit, advantage, or positive impact resulting from an action, resource, or arrangement.
-
B.
benefitedCountry
Indicates that one country gains an advantage, profit, or positive outcome from an action, event, or entity associated with another.
-
C.
overseasRegionOf
Indicates that one region is an overseas territory or administrative division belonging to another country or primary region.
-
D.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
-
E.
countryOrRegionOfPrevalence
Indicates the country or geographic region where something (such as a condition, practice, or phenomenon) is most commonly found or occurs most frequently.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 1:42 a.m.