Triple
T22679991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NK Zagreb |
E560453
|
entity |
| Predicate | developsPlayersIn |
P149216
|
FINISHED |
| Object | youth academy |
—
|
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: youth academy | Statement: [NK Zagreb, developsPlayersIn, youth academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsPlayersIn Context triple: [NK Zagreb, developsPlayersIn, youth academy]
-
A.
developedPlayersFrom
Indicates that one entity has trained, nurtured, or otherwise contributed to the growth and development of players originating from another entity.
-
B.
developedPlayer
Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or improving the skills and abilities of a player entity.
-
C.
developedPlayerFor
Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or advancing the skills and career of a particular player.
-
D.
youthPlayer
Indicates a relationship where an individual is a member of, or plays for, the youth or junior division of a team, club, or organization.
-
E.
developsDuring
Indicates that one process, condition, or characteristic comes into existence or forms over the course of a specified time period, phase, or event.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785f68b4819082c5570f741f5135 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:11 p.m.