Triple
T36393447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banlam people |
E896394
|
entity |
| Predicate | majorDialectCenter |
P171534
|
FINISHED |
| Object | Xiamen |
—
|
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: Xiamen | Statement: [Banlam people, majorDialectCenter, Xiamen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorDialectCenter Context triple: [Banlam people, majorDialectCenter, Xiamen]
-
A.
majorDialectOf
Indicates that one dialect is the primary or most prominent dialect associated with a particular language or region.
-
B.
dominantDialect
Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
-
C.
centerOfDialectArea
chosen
Indicates the location that serves as the central or focal point of a particular dialect area.
-
D.
focusesOnDialect
Indicates that the subject’s attention, work, or activity is specifically directed toward a particular dialect or set of dialects.
-
E.
oneOfMainDialectsOf
Indicates that a dialect is one of the primary or principal dialects associated with a particular language or linguistic group.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 4:10 p.m.