Triple
T1223949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongan language group |
E26284
|
entity |
| Predicate | hasCoreLanguage |
P7390
|
FINISHED |
| Object | Tongan language |
—
|
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: Tongan language | Statement: [Tongan language group, hasCoreLanguage, Tongan language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreLanguage Context triple: [Tongan language group, hasCoreLanguage, Tongan language]
-
A.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
B.
hasProtoLanguage
Indicates that a language or language family originates from, or is derived from, a specified proto-language.
-
C.
hasSignificantLanguage
Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
-
D.
hasSubLanguage
Indicates that one language is a subset, variant, or specialized form of another language.
-
E.
hasMemberLanguage
chosen
Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.