Triple
T19273326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kondura |
E481983
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Kondura |
—
|
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: Kondura | Statement: [Kondura, hasTitle, Kondura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kondura Context triple: [Kondura, hasTitle, Kondura]
-
A.
Kondura
chosen
Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
-
B.
Konda-Dora
Konda-Dora is a South-Central Dravidian language spoken primarily by the Konda Dora tribal community in parts of Andhra Pradesh and Odisha, India.
-
C.
Nigdi
Nigdi is a prominent residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its planned layout and connectivity.
-
D.
Kundina
Kundina was an ancient Indian city historically associated with the Yadava dynasty and early trade and political networks in central India.
-
E.
Berechias
Berechias is a male given name of Hebrew origin, often appearing in biblical and rabbinic literature in various transliterated forms.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.