Triple
T5623224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenchu language |
E147655
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Koya language |
E111783
|
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: Koya language | Statement: [Chenchu language, closelyRelatedTo, Koya language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koya language Context triple: [Chenchu language, closelyRelatedTo, Koya language]
-
A.
Koya language
chosen
Koya language is a South-Central Dravidian language spoken by the Koya tribal communities in central and southern India.
-
B.
Kioko language
The Kioko language is an Austronesian language of the Muna–Buton subgroup spoken by a small community in southeastern Sulawesi, Indonesia.
-
C.
Miyako language
The Miyako language is a Southern Ryukyuan language of Japan’s Okinawa Prefecture, spoken primarily on the Miyako Islands and noted for its distinct phonology and endangered status.
-
D.
Yakoma language
The Yakoma language is a Ubangian language spoken by the Yakoma people of the Central African Republic and neighboring regions.
-
E.
Kaado language
The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02214b4948190b71a9f59499092f6 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d5da9cc819097281dd6aa405e62 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.