Triple
T9786426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MeskhetianTurkAmericans |
E237499
|
entity |
| Predicate | hasEthnoreligiousBackground |
P8262
|
FINISHED |
| Object | Turkic Muslim |
—
|
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: Turkic Muslim | Statement: [MeskhetianTurkAmericans, hasEthnoreligiousBackground, Turkic Muslim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnoreligiousBackground Context triple: [MeskhetianTurkAmericans, hasEthnoreligiousBackground, Turkic Muslim]
-
A.
hasEthnoReligiousDimension
Indicates that the relationship, event, or phenomenon involves or is characterized by an ethnic and/or religious aspect or component.
-
B.
ethnoreligiousIdentity
chosen
Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
E.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.