Triple
T16900035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tu |
E424410
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Tu language |
E989830
|
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: Tu language | Statement: [Tu, primaryLanguage, Tu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tu language Context triple: [Tu, primaryLanguage, Tu language]
-
A.
Tu language
chosen
Tu language is a Mongolic language spoken primarily by the Tu (Monguor) people in northwestern China, especially in Qinghai and Gansu provinces.
-
B.
Tem language
Tem is a Gur language of the Niger-Congo family spoken primarily in Togo and neighboring West African countries.
-
C.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
-
D.
Temein languages
The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
-
E.
Tai Yo language
The Tai Yo language is a Southwestern Tai language spoken by the Tai Yo ethnic group in parts of Vietnam, Laos, and Thailand.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dbc6e48190be90066b82fc61db |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b0783c81909c87de503d5e7e3c |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.