Triple
T30867998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Hunan |
E786255
|
entity |
| Predicate | hasEthnicMinorities |
P148586
|
FINISHED |
| Object | Tujia people |
—
|
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: Tujia people | Statement: [central Hunan, hasEthnicMinorities, Tujia people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicMinorities Context triple: [central Hunan, hasEthnicMinorities, Tujia people]
-
A.
hasMajorEthnicMinority
Indicates that an entity includes a significant ethnic minority group within its overall population or composition.
-
B.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
C.
hasMajorEthnicCategory
Indicates that an entity is associated with, or classified under, a primary or overarching ethnic category.
-
D.
hasEthnicOrNationalComposition
chosen
Indicates that an entity is characterized by a particular ethnic or national group composition.
-
E.
hasEthnicallyMixedPopulation
Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 8:47 p.m.