Triple
T10179340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waigali language |
E235942
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Ashkun language |
E45083
|
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: Ashkun language | Statement: [Waigali language, neighboringLanguage, Ashkun language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashkun language Context triple: [Waigali language, neighboringLanguage, Ashkun language]
-
A.
Ashkun language
chosen
The Ashkun language is a Nuristani language spoken by the Ashkun people in remote regions of eastern Afghanistan.
-
B.
Adasen language
The Adasen language is an Austronesian language spoken by the Adasen people in the Cordillera region of northern Luzon in the Philippines.
-
C.
Avikam language
The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
-
D.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
-
E.
Asuri language
Asuri language is an endangered Munda language of the Austroasiatic family spoken by the Asur tribal community in eastern India, primarily in Jharkhand.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd7ed608190bfdec8b61cc99205 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301373a008190b8d39a8db4167e4f |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.