Triple
T35300715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsenal F.C. youth teams |
E1019495
|
entity |
| Predicate | topYouthSide |
P182710
|
FINISHED |
| Object | Arsenal Under-21s |
—
|
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: Arsenal Under-21s | Statement: [Arsenal F.C. youth teams, topYouthSide, Arsenal Under-21s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topYouthSide Context triple: [Arsenal F.C. youth teams, topYouthSide, Arsenal Under-21s]
-
A.
youthTier
Indicates a classification relationship where an entity is assigned to a specific youth-related level, category, or bracket within a tiered system.
-
B.
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.
-
C.
youngerTowards
Indicates that one entity is younger in age relative to another entity.
-
D.
youthSport
Indicates a relationship where an individual participates in or is associated with a sport specifically organized for young people.
-
E.
sentDownYouth
Indicates that a person was sent from an urban area to live and work in the countryside, typically as part of a state-organized youth relocation or re-education program.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.