Triple
T36592044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Striped Ones |
E902695
|
entity |
| Predicate | refersToClubNicknameType |
P197944
|
FINISHED |
| Object | kit-based nickname |
—
|
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: kit-based nickname | Statement: [The Striped Ones, refersToClubNicknameType, kit-based nickname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToClubNicknameType Context triple: [The Striped Ones, refersToClubNicknameType, kit-based nickname]
-
A.
refersToClubIdentity
Indicates that one entity is referencing, invoking, or otherwise making use of the identity, name, or defining characteristics of a particular club.
-
B.
refersToClubType
Indicates that one entity is associated with or designates a particular type or category of club.
-
C.
refersToClubFrom
Indicates that one entity is referencing or pointing to a specific club as its related or associated club.
-
D.
nicknameForClubFromCity
Indicates that a given nickname is used to refer to a sports club that is based in a particular city.
-
E.
associatedClubCommonName
Indicates that there is a relationship linking an entity to the commonly used or popular name of a club with which it 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69feba0e362c81909883a3f24a4a9545 |
completed | May 9, 2026, 4:37 a.m. |
Created at: May 3, 2026, 4:11 p.m.