Triple
T9634531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuguria |
E232894
|
entity |
| Predicate | ethnoLinguisticClassification |
P46225
|
FINISHED |
| Object | Polynesian outlier community |
—
|
LITERAL 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: Polynesian outlier community | Statement: [Nuguria, ethnoLinguisticClassification, Polynesian outlier community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoLinguisticClassification Context triple: [Nuguria, ethnoLinguisticClassification, Polynesian outlier community]
-
A.
ethnolinguisticGroups
chosen
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
B.
ethnoLinguisticRegionOf
Indicates that a region is defined or characterized by the shared ethnic and linguistic identity of the group associated with it.
-
C.
glottoCategory
Indicates the linguistic classification or type (such as language family, subgroup, or category) to which a language or dialect is assigned.
-
D.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
E.
hasEthnologueEntry
Indicates that there exists an entry for the subject in the Ethnologue language reference resource.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2a0e2c8190ab5aaa223b1e1cde |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.