Triple
T20921354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosnia and Herzegovina at the Olympic Games |
E515214
|
entity |
| Predicate | hasDelegationsComposedOf |
P87158
|
FINISHED |
| Object | multi-ethnic teams |
—
|
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 teams | Statement: [Bosnia and Herzegovina at the Olympic Games, hasDelegationsComposedOf, multi-ethnic teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDelegationsComposedOf Context triple: [Bosnia and Herzegovina at the Olympic Games, hasDelegationsComposedOf, multi-ethnic teams]
-
A.
hasDelegations
Indicates that an entity has assigned or transferred certain responsibilities, authority, or tasks to one or more other entities.
-
B.
composedOfDelegatesFrom
chosen
Indicates that an entity is formed or constituted by delegates representing other entities or groups.
-
C.
hasSmallDelegations
Indicates that an entity maintains or is associated with delegations that are limited in size or scope.
-
D.
hasDelegate
Indicates that one entity has another entity assigned or authorized to act on its behalf as a delegate.
-
E.
numberOfDelegations
Indicates the total count of delegation instances associated with a given entity or context.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64e56bc81908aa86f2176fcc0db |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.