Triple
T7901158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Sama |
E183454
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Siasi Sama |
E700459
|
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: [Central Sama, hasDialect, Siasi Sama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siasi Sama Context triple: [Central Sama, hasDialect, Siasi Sama]
-
A.
Sama
Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
-
B.
Bongao Sama
chosen
Bongao Sama is a dialect of the Central Sama language spoken primarily by the Sama people in and around Bongao in the southern Philippines.
-
C.
Siasi
Siasi is an island municipality in the southern Philippines known for its predominantly Muslim population, fishing-based economy, and location within the Sulu Sea.
-
D.
Siya
Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
-
E.
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.
- 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_69cbdfd2dbbc8190b7b1e45b7f0b7515 |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:02 p.m.