Triple
T15665589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heerenveen |
E377176
|
entity |
| Predicate | hasIceSportsClub |
P103892
|
FINISHED |
| Object | Thialf-based speed skating clubs |
—
|
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: Thialf-based speed skating clubs | Statement: [Heerenveen, hasIceSportsClub, Thialf-based speed skating clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIceSportsClub Context triple: [Heerenveen, hasIceSportsClub, Thialf-based speed skating clubs]
-
A.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
-
B.
hasSportsClubs
chosen
Indicates that an entity possesses, hosts, or is associated with one or more sports clubs.
-
C.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
D.
hasIceHockeyCapacity
Indicates that an entity is capable of hosting or accommodating ice hockey activities, such as games or practices.
-
E.
hasHomeClub
Indicates that an entity (typically a person, such as an athlete) is associated with a particular club as their primary or official home organization.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.