Triple
T37360831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajax 1994–95 Champions League campaign |
E927571
|
entity |
| Predicate | youthAcademyInfluence |
P163757
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Ajax 1994–95 Champions League campaign, youthAcademyInfluence, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthAcademyInfluence Context triple: [Ajax 1994–95 Champions League campaign, youthAcademyInfluence, high]
-
A.
youthAcademyFocus
Indicates that an organization or program is primarily dedicated to developing and training young or junior participants.
-
B.
youthAcademyReputation
Indicates the perceived quality and success of an organization’s youth development system in producing and nurturing young talent.
-
C.
usesYouthAcademyPipeline
chosen
Indicates that an organization develops and promotes players through its own youth academy system as a primary source of talent.
-
D.
youthRole
Indicates that an entity serves in a role, position, or capacity specifically associated with youth or young people.
-
E.
campusInfluence
Indicates the degree to which one entity affects, shapes, or contributes to the environment, activities, or dynamics within a campus setting.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.