Triple
T27848762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiming clan |
E703893
|
entity |
| Predicate | usedFamilyNameInChineseSources |
P124303
|
FINISHED |
| Object | Li |
—
|
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: Li | Statement: [Weiming clan, usedFamilyNameInChineseSources, Li]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedFamilyNameInChineseSources Context triple: [Weiming clan, usedFamilyNameInChineseSources, Li]
-
A.
correspondsToChineseSurname
chosen
Indicates that one entity is the Chinese surname equivalent or counterpart of another entity.
-
B.
nameInChinese
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
C.
hasEthnonymInChinese
Indicates that an entity has a specific ethnonym (name for an ethnic group or people) expressed in the Chinese language.
-
D.
fullNameInChineseGivenName
Indicates that the entity’s full name, when written in Chinese, is ordered with the given name first.
-
E.
manchuName
Indicates that an entity has a specific name expressed in the Manchu language.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 6:09 p.m.