Triple
T33631462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1973 |
E861573
|
entity |
| Predicate | broadcasterHost |
P16302
|
FINISHED |
| Object | Télé-Luxembourg |
—
|
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: Télé-Luxembourg | Statement: [Eurovision Song Contest 1973, broadcasterHost, Télé-Luxembourg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcasterHost Context triple: [Eurovision Song Contest 1973, broadcasterHost, Télé-Luxembourg]
-
A.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
B.
broadcasterNationality
Indicates the country or national affiliation associated with a broadcaster.
-
C.
coHostOf
Indicates a relationship where two or more entities jointly host the same event, program, or activity together.
-
D.
podcastHostOf
Indicates that one entity serves as the host of a particular podcast.
-
E.
hasBroadcaster
chosen
Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:41 a.m.