Triple
T27904149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangutaran Samal |
E705721
|
entity |
| Predicate | ethnologueCategory |
P145374
|
FINISHED |
| Object | Sama-Bajau |
—
|
NE NERFINISHED |
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: Sama-Bajau | Statement: [Pangutaran Samal, ethnologueCategory, Sama-Bajau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnologueCategory Context triple: [Pangutaran Samal, ethnologueCategory, Sama-Bajau]
-
A.
ethnologueScope
chosen
Indicates the classification scope or coverage category assigned to a language or variety within the Ethnologue system.
-
B.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
C.
hasEthnologueEntry
Indicates that there exists an entry for the subject in the Ethnologue language reference resource.
-
D.
glottoCategory
Indicates the linguistic classification or type (such as language family, subgroup, or category) to which a language or dialect is assigned.
-
E.
ethnoLinguisticRegionOf
Indicates that a region is defined or characterized by the shared ethnic and linguistic identity of the group associated with it.
- F. None of above.
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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:44 p.m.