Triple
T11865912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wartburg Song Contest |
E282282
|
entity |
| Predicate | languageOfVenueCountry |
P15031
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Wartburg Song Contest, languageOfVenueCountry, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfVenueCountry Context triple: [Wartburg Song Contest, languageOfVenueCountry, German]
-
A.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
B.
languageOfEvent
chosen
Indicates the language in which an event is conducted, presented, or communicated.
-
C.
languageOfLocalOrganisingCommittee
Indicates the language used by the local organising committee to conduct its activities, communication, and official documentation.
-
D.
languageOfCeremony
Indicates the language in which a ceremony is conducted or officially performed.
-
E.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73a233081909449ab294d01a512 |
completed | April 10, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69d8a2589f0c8190ad82ff11acabae93 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.