Triple
T30737897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randers FC |
E782607
|
entity |
| Predicate | hasSupporterBaseLocation |
P196867
|
FINISHED |
| Object | Randers |
—
|
NE NERFINISHED |
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: Randers | Statement: [Randers FC, hasSupporterBaseLocation, Randers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSupporterBaseLocation Context triple: [Randers FC, hasSupporterBaseLocation, Randers]
-
A.
hasSupporter
Indicates that one entity supports, endorses, or backs another entity.
-
B.
hasVolunteerBaseIn
Indicates that an organization maintains a core group of volunteers located in a specified place or region.
-
C.
supportsLocation
Indicates that one entity provides the necessary structure, foundation, or capacity to hold, host, or accommodate another entity at a particular place or position.
-
D.
hasSupporterDetail
Indicates that an entity is associated with specific information or attributes about a supporter related to it.
-
E.
hasVolunteerBase
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: April 29, 2026, 8:37 p.m.