Triple
T21194915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumshuq |
E522301
|
entity |
| Predicate | ethnicGroupHistorically |
P34168
|
FINISHED |
| Object | Saka |
—
|
NE NERFINISHED |
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: Saka | Statement: [Tumshuq, ethnicGroupHistorically, Saka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saka Context triple: [Tumshuq, ethnicGroupHistorically, Saka]
-
A.
Saka
chosen
Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
-
B.
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.
-
C.
Sakaarian
Sakaarian is the native language spoken by the inhabitants of the planet Sakaar in the Marvel universe.
-
D.
Shuka
Shuka is a Japanese animation studio known for producing the later seasons and related works of the urban fantasy anime series Durarara!!.
-
E.
Kawe
Kawe is a coastal residential and commercial neighborhood in the Kinondoni District of Dar es Salaam, Tanzania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333aa0fc81909b17eb6a26f389ec |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:08 p.m.