Triple
T16041743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | af2 |
E389111
|
entity |
| Predicate | fanBaseTarget |
P897
|
FINISHED |
| Object | local and regional indoor football fans |
—
|
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: local and regional indoor football fans | Statement: [af2, fanBaseTarget, local and regional indoor football fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanBaseTarget Context triple: [af2, fanBaseTarget, local and regional indoor football fans]
-
A.
fanBase
chosen
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
B.
fanBaseInteraction
Indicates interactions or engagements occurring between a fan base and the subject, such as communication, feedback, or participatory activities.
-
C.
fanBaseName
Indicates the name by which the collective group of fans of a particular person, group, or entity is known.
-
D.
fanBaseScope
Indicates the extent or range of people who are considered fans or followers of an entity.
-
E.
fanBaseRelationship
Indicates a relationship in which one party is a fan or supporter of another, typically involving admiration, following, or dedicated interest.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.