Triple
T21964102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Olimpo |
E542412
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Olimpo |
—
|
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: Olimpo | Statement: [Club Olimpo, shortName, Olimpo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olimpo Context triple: [Club Olimpo, shortName, Olimpo]
-
A.
Olimpo
chosen
Olimpo is an Argentine football club best known for competing in the country’s professional league system, including multiple seasons in the Primera División.
-
B.
Olympos
Olympos is the highest mountain in Greece, famed in Greek mythology as the home of the Olympian gods.
-
C.
Olympos
Olympos is a science fiction novel by Dan Simmons that blends Greek mythology, literary allusion, and far-future technology in a complex, genre-crossing narrative.
-
D.
Olympos
Olympos was an ancient coastal city in Lycia, known for its strategic harbor, Hellenistic and Roman ruins, and later association with pirates and early Christian history.
-
E.
Olympos
Olympos is a traditional, picturesque mountain village on the Greek island of Karpathos, known for its preserved customs, distinctive architecture, and panoramic Aegean views.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12459e1848190aa8d4ccc97f434b8 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.