Triple
T35984551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coastal FC |
E1040673
|
entity |
| Predicate | playerPositionDeveloped |
P154006
|
FINISHED |
| Object | forward |
—
|
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: forward | Statement: [Coastal FC, playerPositionDeveloped, forward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerPositionDeveloped Context triple: [Coastal FC, playerPositionDeveloped, forward]
-
A.
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.
-
B.
developedPlayerRole
chosen
Indicates that one entity has contributed to the growth, training, or advancement of another entity in a specific player role.
-
C.
coachPositionPlayed
Indicates the role or position a coach played (typically as a player) in the sport they are associated with.
-
D.
developedPlayersFrom
Indicates that one entity has trained, nurtured, or otherwise contributed to the growth and development of players originating from another entity.
-
E.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:07 p.m.