Triple
T11033047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinoba Bhave |
E260805
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Gagode |
E260805
|
NE FINISHED |
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: Gagode | Statement: [Vinoba Bhave, birthPlace, Gagode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gagode Context triple: [Vinoba Bhave, birthPlace, Gagode]
-
A.
Gagode
chosen
Gagode is a village in Maharashtra, India, known primarily as the birthplace of the social reformer and Gandhian leader Vinoba Bhave.
-
B.
Goba
Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
-
C.
Gudia
Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
-
D.
Galga
Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
-
E.
Gilga
Gilga is a production company known for its work on the television series "Swarm."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e650b48190967c53f54e3464ad |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8372fac81908c68219b89ba45c1 |
completed | April 18, 2026, 6:06 p.m. |
Created at: April 8, 2026, 9:25 p.m.