Triple
T29916058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hlai |
E759797
|
entity |
| Predicate | ethnicCategoryInChina |
P63019
|
FINISHED |
| Object | Li nationality |
—
|
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 nationality | Statement: [Hlai, ethnicCategoryInChina, Li nationality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCategoryInChina Context triple: [Hlai, ethnicCategoryInChina, Li nationality]
-
A.
ethnicCategoryIn
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
-
B.
ethnicStatusInChina
chosen
Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
-
C.
hasEthnonymInChinese
Indicates that an entity has a specific ethnonym (name for an ethnic group or people) expressed in the Chinese language.
-
D.
countryNameInChinese
Indicates the Chinese-language name used to refer to a given country.
-
E.
Chinese
Indicates that an entity is associated with China, typically by nationality, origin, language, or cultural affiliation.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 29, 2026, 6:12 p.m.