Triple
T10697342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murle language |
E252178
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Tennet language |
E867107
|
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: Tennet language | Statement: [Murle language, neighboringLanguage, Tennet language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tennet language Context triple: [Murle language, neighboringLanguage, Tennet language]
-
A.
Tennet language
chosen
Tennet language is a Surmic language spoken by the Tennet people of South Sudan.
-
B.
Temein languages
The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
-
C.
Tai Aiton language
The Tai Aiton language is a Southwestern Tai language spoken by the Tai Aiton ethnic community in northeastern India, particularly in Assam.
-
D.
Nitinaht language
The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
-
E.
Tepiman languages
The Tepiman languages are a group of closely related Uto-Aztecan indigenous languages spoken primarily in northern Mexico by various Tepehuán and Piman peoples.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd89390c8190969ab2b4a79d5818 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998e447e0819098e839e9e121a21f |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.