Triple
T7362770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodava |
E169791
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kodava takk |
E169791
|
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: Kodava takk | Statement: [Kodava, alternateName, Kodava takk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodava takk Context triple: [Kodava, alternateName, Kodava takk]
-
A.
Kodava
chosen
Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
-
B.
Takaro
Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
-
C.
Kuttantavar
Kuttantavar is a regional name for Iravan, a minor but significant figure in the Mahabharata epic who is venerated in specific South Indian folk and temple traditions.
-
D.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
E.
Kopaida
Kopaida is the Greek name for Lake Copais, a former large karstic lake in Boeotia, central Greece, that was historically significant for its drainage and agricultural reclamation.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15f218081909b5cc7a8cc695055 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab3a9d88190b9193dd0729eba5a |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:06 p.m.