Triple
T5460328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saka languages |
E122578
|
entity |
| Predicate | notableDialect |
P37438
|
FINISHED |
| Object | Tumshuqese Saka |
E228143
|
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: Tumshuqese Saka | Statement: [Saka languages, notableDialect, Tumshuqese Saka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumshuqese Saka Context triple: [Saka languages, notableDialect, Tumshuqese Saka]
-
A.
Tumshuqese
chosen
Tumshuqese is an extinct Eastern Iranian language once spoken in the region of Tumshuq in what is now Xinjiang, China.
-
B.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
C.
Saka
Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
-
D.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
E.
Sanakhte
Sanakhte was an early ancient Egyptian pharaoh traditionally associated with the 3rd Dynasty and sometimes considered a predecessor or relative of Djoser.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9200a3988190a06f253f99e68224 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c6c2454819096da8367f6b94233 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:08 p.m.