Triple
T26968643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douwe Bob |
E679241
|
entity |
| Predicate | eurovisionYear |
P9034
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Douwe Bob, eurovisionYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eurovisionYear Context triple: [Douwe Bob, eurovisionYear, 2016]
-
A.
yearOfEurovisionVictory
Indicates the specific year in which an entity achieved victory in the Eurovision Song Contest.
-
B.
yearOfEurovisionParticipation
chosen
Indicates the year in which an entity participated in the Eurovision Song Contest.
-
C.
EurovisionWinningSongForCountry
Indicates that a particular song is the one that won the Eurovision Song Contest for a given country in a specific year.
-
D.
EurovisionHostCity
Indicates that a city served as the official host location for a particular edition of the Eurovision Song Contest.
-
E.
eurovisionRunningOrderPosition
Indicates the specific position in which an entry appears in the running order of a Eurovision Song Contest show.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621233f2c81908c237f20c50c2ba3 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:37 a.m.