Triple
T18698790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongxiang |
E457190
|
entity |
| Predicate | officialMinorityStatusCountInChina |
P132346
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
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: 1 | Statement: [Dongxiang, officialMinorityStatusCountInChina, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialMinorityStatusCountInChina Context triple: [Dongxiang, officialMinorityStatusCountInChina, 1]
-
A.
ethnicStatusInChina
Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
-
B.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
-
C.
ethnicGroupStatus
Indicates the social, legal, or political standing or classification of an ethnic group within a given context.
-
D.
legalStatusInChina
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
-
E.
recognizedAsMinorityIn
Indicates that an entity is officially acknowledged or classified as belonging to a minority group within a specified context or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562ea4ee48190b18a29553371f31a |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.