Triple
T36386298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Tai languages |
E896202
|
entity |
| Predicate | arealFeatureWith |
P24620
|
FINISHED |
| Object | other Tai languages of mainland Southeast Asia |
—
|
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: other Tai languages of mainland Southeast Asia | Statement: [Northwestern Tai languages, arealFeatureWith, other Tai languages of mainland Southeast Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arealFeatureWith Context triple: [Northwestern Tai languages, arealFeatureWith, other Tai languages of mainland Southeast Asia]
-
A.
arealFeature
Indicates a relationship where something is characterized as a spatial or geographic feature occupying an area on a surface or map.
-
B.
withinFeature
Indicates that one entity is spatially contained inside or lies entirely within the bounds of another feature.
-
C.
arealRegion
Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
-
D.
arealRelation
chosen
Indicates a spatial relationship between areas, such as overlap, containment, adjacency, or relative positioning between two regions.
-
E.
arealTypology
Indicates a typological relationship based on geographic or areal distribution, showing how linguistic features are shared or patterned across regions.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.