Triple
T25946572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Božanovići |
E653853
|
entity |
| Predicate | inferredEthnicContext |
P64832
|
FINISHED |
| Object | Bosnian Serb |
—
|
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: Bosnian Serb | Statement: [Božanovići, inferredEthnicContext, Bosnian Serb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredEthnicContext Context triple: [Božanovići, inferredEthnicContext, Bosnian Serb]
-
A.
depictsEthnicContext
Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
-
B.
hasEthnolinguisticContext
chosen
Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
E.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60466a32c8190a73b55901951a9e1 |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:43 a.m.