Triple
T15901897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candelaria Sambal |
E385608
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Sambal language variety |
C36635
|
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: Sambal language variety Context triple: [Candelaria Sambal, instanceOf, Sambal language variety]
-
A.
regional variety of the Sasak language
A regional variety of the Sasak language is a geographically and socially distinct form of Sasak characterized by systematic differences in pronunciation, vocabulary, and grammar from other Sasak varieties.
-
B.
Sabaic language variety
A Sabaic language variety is a specific form or dialect of the ancient South Arabian Sabaic language, distinguished by its unique linguistic features, geographic distribution, and historical context within the Sabaean cultural sphere.
-
C.
Nicobarese language variety
A Nicobarese language variety is a specific linguistic form or dialect within the Nicobarese branch of the Austroasiatic language family, spoken by the indigenous Nicobarese people of India’s Nicobar Islands.
-
D.
Sama–Bajaw language
The Sama–Bajaw language is a group of closely related Austronesian languages spoken by the seafaring Sama-Bajau peoples across maritime Southeast Asia, particularly in the Philippines, Malaysia, and Indonesia.
-
E.
regional variety of the Javanese language
A regional variety of the Javanese language is a geographically distinct form of Javanese characterized by unique phonological, lexical, and sometimes grammatical features while remaining mutually intelligible with other Javanese varieties.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:52 a.m.