Triple
T27243111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingzhou Miao and Dong Autonomous County |
E687264
|
entity |
| Predicate | ethnicGroupDesignated |
P154618
|
FINISHED |
| Object | Miao |
—
|
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: Miao | Statement: [Jingzhou Miao and Dong Autonomous County, ethnicGroupDesignated, Miao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupDesignated Context triple: [Jingzhou Miao and Dong Autonomous County, ethnicGroupDesignated, Miao]
-
A.
ethnicGroupNamed
Indicates that an ethnic group bears or is identified by a particular name.
-
B.
ethnicGroupClassifiedAs
Indicates that an ethnic group is categorized or designated as belonging to a particular classification or type of ethnic grouping.
-
C.
ethnicGroupOn
chosen
Indicates that a particular ethnic group is present on, associated with, or resides in a specified place or entity.
-
D.
ethnicGroupBase
Indicates that one entity serves as the primary or foundational ethnic group from which another entity is derived, associated, or defined.
-
E.
ethnicGroupInFocus
Indicates that a particular ethnic group is the primary subject or focal point within a given context, relation, or description.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 10:39 a.m.