Triple
T29772105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolombangara languages |
E755276
|
entity |
| Predicate | typologicalGrouping |
P143418
|
FINISHED |
| Object | Austronesian languages of Melanesia |
—
|
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: Austronesian languages of Melanesia | Statement: [Kolombangara languages, typologicalGrouping, Austronesian languages of Melanesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typologicalGrouping Context triple: [Kolombangara languages, typologicalGrouping, Austronesian languages of Melanesia]
-
A.
typologicalGroup
chosen
Indicates that entities are classified together based on shared structural or typological characteristics.
-
B.
groupingType
Indicates how multiple entities are categorized or clustered together based on a shared grouping criterion.
-
C.
macrolanguageGrouping
Indicates that one language is classified as part of a broader macrolanguage grouping that encompasses multiple closely related language varieties.
-
D.
regionalGrouping
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
E.
typology
Indicates a classification relationship in which entities are grouped or organized according to shared types, patterns, or structural characteristics.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f67462f1a881909b30f47ed3f14e05 |
completed | May 2, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:43 p.m.