Triple
T21755041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Supporters |
E537015
|
entity |
| Predicate | supportsTeamIdentity |
P145142
|
FINISHED |
| Object | Albirex Niigata colors |
—
|
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: Albirex Niigata colors | Statement: [Orange Supporters, supportsTeamIdentity, Albirex Niigata colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTeamIdentity Context triple: [Orange Supporters, supportsTeamIdentity, Albirex Niigata colors]
-
A.
supportsTeam
Indicates that one entity provides backing, assistance, or endorsement to a particular team.
-
B.
supportsTeamFrom
Indicates that one entity actively backs, favors, or roots for a particular team.
-
C.
supportsTeamName
Indicates that one entity provides endorsement, backing, or advocacy for a particular team identified by its name.
-
D.
supportsTeamLevel
Indicates that one entity provides assistance, resources, or endorsement to a team as a whole rather than to individual members.
-
E.
supportsTeamInCity
Indicates that one entity provides backing or assistance to a sports team that is based in a particular city.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8d6d0081908e0ccfbccea58895 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:50 p.m.