Triple
T28402155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chess Olympiad |
E719419
|
entity |
| Predicate | notableDominantCountry |
P106516
|
FINISHED |
| Object | Soviet Union (historically) |
—
|
NE NERFINISHED |
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: Soviet Union (historically) | Statement: [Chess Olympiad, notableDominantCountry, Soviet Union (historically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDominantCountry Context triple: [Chess Olympiad, notableDominantCountry, Soviet Union (historically)]
-
A.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
-
B.
notableHolderCountry
Indicates that a country is recognized as a significant or notable holder of a particular item, title, record, or distinction.
-
C.
notableCountryOfRelease
Indicates the country where a work was most prominently or significantly released.
-
D.
notableProjectCountry
Indicates that a country is associated with a notable project undertaken by the subject.
-
E.
countryOfNotableSuccess
chosen
Indicates the country in which an entity achieved notable success or recognition.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a00d76d0e0881908d83a8dcce511167 |
completed | May 10, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a00d711805881909a94cfd1f25fb331 |
completed | May 10, 2026, 7:05 p.m. |
Created at: April 28, 2026, 1:20 a.m.