Triple
T23672256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebati |
E584761
|
entity |
| Predicate | workOfAuthorFromRegion |
P46832
|
FINISHED |
| Object | Odisha |
—
|
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: Odisha | Statement: [Rebati, workOfAuthorFromRegion, Odisha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOfAuthorFromRegion Context triple: [Rebati, workOfAuthorFromRegion, Odisha]
-
A.
appearsInWorkByAuthorNationality
Indicates that an entity appears in a work created by an author of a specified nationality.
-
B.
literaryWorkSetInRegion
Indicates that a literary work’s narrative or events primarily take place within a specified geographic region.
-
C.
workOfAuthorOf
chosen
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
-
D.
workOfAuthorWho
Indicates that one entity is a work (such as a book, article, or artwork) created by another entity who is its author.
-
E.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b41002f881908cd744ed44b70f5d |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.