Triple
T7730561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konda-Dora |
E175237
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object | Konda |
E175237
|
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: Konda | Statement: [Konda-Dora, hasEndonym, Konda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konda Context triple: [Konda-Dora, hasEndonym, Konda]
-
A.
Konda-Dora
chosen
Konda-Dora is a South-Central Dravidian language spoken primarily by the Konda Dora tribal community in parts of Andhra Pradesh and Odisha, India.
-
B.
Kondura
Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
-
C.
Káⁿza
Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
-
D.
Kondhana
Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
-
E.
Kala
Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7c12e0081908eb984ba9bc558ff |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:06 p.m.