Triple
T3145869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1985 |
E65761
|
entity |
| Predicate | locationCountryCode |
P17888
|
FINISHED |
| Object | SE |
—
|
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: SE | Statement: [Eurovision Song Contest 1985, locationCountryCode, SE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationCountryCode Context triple: [Eurovision Song Contest 1985, locationCountryCode, SE]
-
A.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
B.
currentLocationCountry
chosen
Indicates that one entity is the country in which another entity is currently located.
-
C.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
D.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
-
E.
sendingCountry
Indicates the country from which something (such as a person, object, or communication) is sent or dispatched.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.