Triple
T27002160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Maguindanaon |
E680139
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variety of the Maguindanaon language |
C52363
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: variety of the Maguindanaon language Context triple: [Upper Maguindanaon, instanceOf, variety of the Maguindanaon language]
-
A.
Palawano language variety
A Palawano language variety is a specific regional or ethnolinguistic form of the Palawano Austronesian language spoken by distinct Palawano communities on the island of Palawan in the Philippines.
-
B.
variety of the Kalanguya language
A variety of the Kalanguya language is a regional or social form of Kalanguya distinguished by unique phonological, lexical, or grammatical features used by a particular speech community.
-
C.
Ivatan language variety
A specific form or dialect of the Ivatan language, characterized by its unique phonological, lexical, and grammatical features within the Ivatan-speaking community.
-
D.
Visayan language variety
A Visayan language variety is a specific regional or social form of any language within the Visayan (Bisayan) subgroup of the Austronesian language family, characterized by distinct phonological, lexical, and grammatical features.
-
E.
Kalinga language variety
A Kalinga language variety is a specific regional or ethnolinguistic form of the Kalinga language spoken in the Cordillera region of the northern Philippines, characterized by distinct phonological, lexical, and grammatical features.
- F. None of above. chosen
Provenance (1 batch)
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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 27, 2026, 6:58 a.m.