Triple
T6980913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamanic languages |
E161840
|
entity |
| Predicate | arealRelationship |
P24620
|
FINISHED |
| Object | geographically separated from South Sulawesi languages |
—
|
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: geographically separated from South Sulawesi languages | Statement: [Tamanic languages, arealRelationship, geographically separated from South Sulawesi languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arealRelationship Context triple: [Tamanic languages, arealRelationship, geographically separated from South Sulawesi languages]
-
A.
arealRelation
chosen
Indicates a spatial relationship between areas, such as overlap, containment, adjacency, or relative positioning between two regions.
-
B.
arealFeature
Indicates a relationship where something is characterized as a spatial or geographic feature occupying an area on a surface or map.
-
C.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
D.
landRelation
Indicates a spatial or ownership-based relationship between entities and a specific piece or area of land.
-
E.
spatialRelation
Indicates a spatial relationship between entities, specifying how one is positioned or located relative to another in space.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6c1efc8190ab1575ae2ce726db |
completed | March 27, 2026, 7:33 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.