Triple
T7901031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sama language |
E183451
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Siasi Sama |
E586853
|
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: Siasi Sama | Statement: [Sama language, hasDialect, Siasi Sama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siasi Sama Context triple: [Sama language, hasDialect, Siasi Sama]
-
A.
Siasi
chosen
Siasi is an island municipality in the southern Philippines known for its predominantly Muslim population, fishing-based economy, and location within the Sulu Sea.
-
B.
Siya
Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
-
C.
Dupax Isinay
Dupax Isinay is a regional dialect of the Isinay language traditionally spoken in the Dupax area of Nueva Vizcaya in the northern Philippines.
-
D.
Tiyo Soga
Tiyo Soga was a pioneering 19th-century Xhosa Presbyterian minister, intellectual, and the first black South African to be ordained in Scotland, known for his influential role in Christianity and education in South Africa.
-
E.
Uisang
Uisang was a prominent 7th-century Korean Buddhist monk and scholar, renowned as a key founder of the Hwaeom (Huayan) school in Korea.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3f4c2c81909ae70b0acf4729be |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bbd93348190883c6152f18f8214 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.