Triple
T18705892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stereolux |
E457365
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object | Olympic |
—
|
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: Olympic | Statement: [Stereolux, replaced, Olympic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympic Context triple: [Stereolux, replaced, Olympic]
-
A.
Olympic
chosen
"Olympic" is a track by the pioneering British electronic music group 808 State, known for their influential role in the development of acid house and techno.
-
B.
OLYMPIC
OLYMPIC is the radio callsign used by the Greek regional airline Olympic Air for its flight operations.
-
C.
Olimpiade
"Olimpiade" is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers and influential in the opera seria tradition.
-
D.
Olympic Games
The Olympic Games were a major ancient Greek athletic and religious festival held in honor of Zeus, featuring competitions among city-states that inspired the modern international sporting event.
-
E.
Olimpiiska
Olimpiiska is a Kyiv Metro station named after the nearby Olympic Stadium, serving passengers on one of the city’s main subway lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671717b88190974f542015f641e8 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.