Triple
T34409280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hörzu |
E883208
|
entity |
| Predicate | hasAwardEventLocation |
P130408
|
FINISHED |
| Object | Germany (Goldene Kamera ceremony) |
—
|
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: Germany (Goldene Kamera ceremony) | Statement: [Hörzu, hasAwardEventLocation, Germany (Goldene Kamera ceremony)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardEventLocation Context triple: [Hörzu, hasAwardEventLocation, Germany (Goldene Kamera ceremony)]
-
A.
awardShowLocation
chosen
Indicates the place where an award show is held or takes place.
-
B.
awardingVenue
Indicates the place or institution where an award is formally given or conferred.
-
C.
locationOfAwardedWork
Indicates the place where the work for which an award was given was created, performed, or took place.
-
D.
awardingCity
Indicates the city in which an award is formally given or conferred.
-
E.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.