Triple
T26225530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhumketu |
E655879
|
entity |
| Predicate | collectionPublicationCountry |
P322
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Dhumketu, collectionPublicationCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionPublicationCountry Context triple: [Dhumketu, collectionPublicationCountry, India]
-
A.
countryOfPublication
chosen
Indicates the country in which a work was formally published or made publicly available.
-
B.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
C.
collectionPublication
Indicates that a collection has been formally published or made publicly available, typically through some publishing process or platform.
-
D.
stateOfPublication
Indicates the jurisdiction or territorial state in which a work is formally published or made publicly available.
-
E.
continentOfPublication
Indicates the continent on which the publication was produced or released.
- 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_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 26, 2026, 8:57 p.m.