Triple
T26224896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangladesh Monastery |
E655862
|
entity |
| Predicate | countryOfSponsorship |
P17912
|
FINISHED |
| Object | Bangladesh |
—
|
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: Bangladesh | Statement: [Bangladesh Monastery, countryOfSponsorship, Bangladesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSponsorship Context triple: [Bangladesh Monastery, countryOfSponsorship, Bangladesh]
-
A.
countryOfPatronage
chosen
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
B.
countryOfInstitution
Indicates the country in which an institution is located or officially based.
-
C.
countryOfParentOrganization
Indicates that an organization is located in or associated with the country where its parent organization is based.
-
D.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
E.
sponsorNationality
Indicates that an entity acts as a sponsor and has the specified nationality.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 26, 2026, 8:57 p.m.