Triple
T28004045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Brigade |
E707224
|
entity |
| Predicate | clubSupportedPlaysSport |
P142014
|
FINISHED |
| Object | association football |
—
|
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: association football | Statement: [Green Brigade, clubSupportedPlaysSport, association football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubSupportedPlaysSport Context triple: [Green Brigade, clubSupportedPlaysSport, association football]
-
A.
supportedClubLeague
Indicates that an entity (typically a person or group) actively supported a particular sports club participating in a specified league.
-
B.
supportsClubInLeague
Indicates that one entity provides backing or sponsorship for a club participating in a particular league.
-
C.
clubFoundedSupported
Indicates that an entity (such as a person, organization, or group) played a role in founding a club and/or providing support for its establishment or ongoing activities.
-
D.
associatedClubSport
chosen
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
-
E.
supportedLeague
Indicates that an entity has provided backing, endorsement, or assistance to a particular league.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63bd3ea2881908db2c1e041a78b03 |
completed | May 2, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:59 p.m.