Triple
T29693078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ran |
E751264
|
entity |
| Predicate | ethnoCulturalCharacter |
P122854
|
FINISHED |
| Object | multi-ethnic Caucasian population |
—
|
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: multi-ethnic Caucasian population | Statement: [Ran, ethnoCulturalCharacter, multi-ethnic Caucasian population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoCulturalCharacter Context triple: [Ran, ethnoCulturalCharacter, multi-ethnic Caucasian population]
-
A.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
B.
cultureCharacteristic
Indicates that a particular trait, practice, or feature is a defining characteristic of a given culture.
-
C.
EthnicaSubject
Indicates that the subject has an ethnic or national affiliation characterized by the specified ethnonym or ethnic identity.
-
D.
culturalIdentifier
chosen
Indicates that one entity serves as a marker, label, or attribute that identifies or characterizes the cultural affiliation, background, or context of another entity.
-
E.
ethnicityInTradition
Indicates that a particular ethnicity is associated with, represented in, or plays a role within a specified cultural or religious tradition.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672963f0481909795a3384a2d3bb4 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:18 p.m.