Triple
T28491096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal at the Eurovision Song Contest 1996 |
E720965
|
entity |
| Predicate | eurovisionEditionHostCity |
P111513
|
FINISHED |
| Object | Oslo |
—
|
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: Oslo | Statement: [Portugal at the Eurovision Song Contest 1996, eurovisionEditionHostCity, Oslo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eurovisionEditionHostCity Context triple: [Portugal at the Eurovision Song Contest 1996, eurovisionEditionHostCity, Oslo]
-
A.
EurovisionHostCity
chosen
Indicates that a city served as the official host location for a particular edition of the Eurovision Song Contest.
-
B.
yearOfEurovisionVictory
Indicates the specific year in which an entity achieved victory 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.
eurovisionFinalResult
Indicates the final placement or outcome achieved by an entry or participant in the Eurovision Song Contest.
-
E.
eurovisionRepresentedCountry
Indicates that a musical act or performer represented a specific country in the Eurovision Song Contest.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 3:01 a.m.