Triple
T29865782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singani |
E758451
|
entity |
| Predicate | regulatingCountry |
P38075
|
FINISHED |
| Object | Bolivia |
—
|
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: Bolivia | Statement: [Singani, regulatingCountry, Bolivia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatingCountry Context triple: [Singani, regulatingCountry, Bolivia]
-
A.
regulatorCountry
chosen
Indicates the country that has regulatory authority or oversight over the referenced entity or activity.
-
B.
countryAccessRegulatedBy
Indicates that access to a country is controlled, restricted, or governed by a specified authority, policy, or regulatory mechanism.
-
C.
groundingCountry
Indicates the country in which an entity is based, founded, or primarily established.
-
D.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
-
E.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 29, 2026, 5:51 p.m.