Triple
T35905526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Lü |
E1038460
|
entity |
| Predicate | majorDialectArea |
P171534
|
FINISHED |
| Object | Xishuangbanna |
—
|
NE NERFINISHED |
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: Xishuangbanna | Statement: [Tai Lü, majorDialectArea, Xishuangbanna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorDialectArea Context triple: [Tai Lü, majorDialectArea, Xishuangbanna]
-
A.
majorDialectOf
Indicates that one dialect is the primary or most prominent dialect associated with a particular language or region.
-
B.
relatedDialectArea
Indicates that one dialect area is geographically, historically, or linguistically connected to another dialect area.
-
C.
centerOfDialectArea
chosen
Indicates the location that serves as the central or focal point of a particular dialect area.
-
D.
dominantDialect
Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
-
E.
notableDialect
Indicates that an entity is recognized for having a distinct or noteworthy dialect associated with it.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: May 3, 2026, 4:07 p.m.