Triple
T31540907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hüttenberg |
E804744
|
entity |
| Predicate | hasLocalSportsTradition |
P78147
|
FINISHED |
| Object | team handball |
—
|
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: team handball | Statement: [Hüttenberg, hasLocalSportsTradition, team handball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalSportsTradition Context triple: [Hüttenberg, hasLocalSportsTradition, team handball]
-
A.
hasLocalSport
chosen
Indicates that a place or community is associated with, supports, or regularly engages in a particular sport at the local level.
-
B.
hasProfessionalSportsHeritage
Indicates that an entity has a historical or familial connection to professional-level sports participation or achievement.
-
C.
hasWinningTradition
Indicates that an entity (such as a team or organization) is characterized by a consistent history of success or victories in its competitive activities.
-
D.
hasSportsPrecinct
Indicates that an entity includes, contains, or is associated with a designated area or complex specifically intended for sports activities or facilities.
-
E.
hasSportsClubs
Indicates that an entity possesses, hosts, or is associated with one or more sports clubs.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 30, 2026, 10:06 p.m.