Triple
T14099709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamorta |
E339346
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Katchal |
E109219
|
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: Katchal | Statement: [Kamorta, hasNearbyIsland, Katchal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katchal Context triple: [Kamorta, hasNearbyIsland, Katchal]
-
A.
Katchal
chosen
Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
-
B.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
C.
Chamkani
Chamkani is a Pashtun tribe traditionally associated with the Karlani tribal confederation in the Afghanistan–Pakistan border region.
-
D.
Chakia
Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
-
E.
Khorta
Khorta is an Indo-Aryan language spoken primarily in the Indian states of Jharkhand and Bihar, closely related to Magahi and Hindi.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b108908190b4b408f21ecb877a |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.