Triple
T17049215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HNK Hajduk Split |
E413648
|
entity |
| Predicate | homeCountryLeagueDebut |
P125657
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [HNK Hajduk Split, homeCountryLeagueDebut, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCountryLeagueDebut Context triple: [HNK Hajduk Split, homeCountryLeagueDebut, 1992]
-
A.
leagueDebutCountry
Indicates the country in which an entity (typically an athlete or team) made its debut in a particular league.
-
B.
homeCountryLeagueLevel
Indicates the competitive tier or division level of the league in the subject’s home country with which the subject is associated.
-
C.
professionalDebutCountry
Indicates the country in which an individual made their professional debut.
-
D.
nationalTeamDebutCountry
Indicates the country for which an individual first made an official appearance on a national team.
-
E.
countryOfClubCareer
Indicates the country in which an entity’s club-level sports career took place or is associated.
- F. None of above. chosen
Provenance (4 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.