Triple
T10483676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atuot language |
E247235
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Atwot |
E865596
|
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: Atwot | Statement: [Atuot language, hasAlternativeSpelling, Atwot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atwot Context triple: [Atuot language, hasAlternativeSpelling, Atwot]
-
A.
Atwot
chosen
Atwot is a Nilotic language spoken by the Atwot people of South Sudan, closely related to Dinka and Nuer.
-
B.
TWO
TWO is the second installment in the "Four EP" music project series.
-
C.
ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
-
D.
Twinway
Twinway is a prominent hiking trail in New Hampshire’s White Mountains that traverses part of the Franconia Range, offering access to several high peaks and scenic ridgelines.
-
E.
Two in One
Two in One is a stylistically inventive, two-part film by Ukrainian director Kira Muratova that blends dark humor and meta-theatrical elements to explore human relationships and performance.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc7fc0cc8190922b7b783d37f542 |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:22 p.m.