Triple
T36393437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banlam people |
E896394
|
entity |
| Predicate | ethnonymInChineseCharacters |
P156685
|
FINISHED |
| Object | 閩南人 |
—
|
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: 閩南人 | Statement: [Banlam people, ethnonymInChineseCharacters, 閩南人]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnonymInChineseCharacters Context triple: [Banlam people, ethnonymInChineseCharacters, 閩南人]
-
A.
hasEthnonymInChinese
chosen
Indicates that an entity has a specific ethnonym (name for an ethnic group or people) expressed in the Chinese language.
-
B.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
-
C.
ethnonymInLanguage
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
-
D.
correspondsToChineseSurname
Indicates that one entity is the Chinese surname equivalent or counterpart of another entity.
-
E.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
- 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_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.