Triple
T24629417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukla Prague |
E609631
|
entity |
| Predicate | homeCountryTeamLevel |
P27783
|
FINISHED |
| Object | Czechoslovak First League |
—
|
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: Czechoslovak First League | Statement: [Dukla Prague, homeCountryTeamLevel, Czechoslovak First League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCountryTeamLevel Context triple: [Dukla Prague, homeCountryTeamLevel, Czechoslovak First League]
-
A.
homeCountryTeamOf
Indicates that one entity is the national team representing the home country of another entity.
-
B.
homeCountryLeagueLevel
chosen
Indicates the competitive tier or division level of the league in the subject’s home country with which the subject is associated.
-
C.
homeCountryForLeaguePurposes
Indicates the country that is officially recognized as a league’s home or base of operations for regulatory or organizational purposes.
-
D.
homeCountryNationalTeamContribution
Indicates the extent to which an individual contributes to or participates in the national team of their home country.
-
E.
countryOfTeam
Indicates that a team is associated with or represents a particular country.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.