Triple
T23494610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjam district |
E571668
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Aska |
—
|
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: Aska | Statement: [Ganjam district, hasTown, Aska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aska Context triple: [Ganjam district, hasTown, Aska]
-
A.
Aska
chosen
Aska is a town in the Ganjam district of Odisha, India, known for its sugar industry and regional commercial activities.
-
B.
Aske
Aske is a surname of Scandinavian origin borne by various individuals, including those with the given name Ellen.
-
C.
Ashka
Ashka is the central protagonist of the fantasy series "Spellbinder," around whom the story’s magical adventures and conflicts revolve.
-
D.
Asen
Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
-
E.
Asake
Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7def8ac8190ade511299078d55b |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.