Triple
T17129868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megaro Moussikis metro station |
E415691
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Stasy S.A. |
E337733
|
NE 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: Stasy S.A. | Statement: [Megaro Moussikis metro station, operator, Stasy S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stasy S.A. Context triple: [Megaro Moussikis metro station, operator, Stasy S.A.]
-
A.
STASY S.A.
chosen
STASY S.A. is the public transport company responsible for operating and managing urban rail and related transit services in Athens, Greece.
-
B.
Lyria SAS
Lyria SAS is a Franco-Swiss rail company that operates high-speed TGV Lyria train services connecting France and Switzerland.
-
C.
Astene Sas
Astene Sas is a historic lock and picturesque waterside area in the Astene district of Deinze, Belgium, known for its scenic views and local heritage.
-
D.
Stane International
Stane International is a powerful fictional industrial corporation in the Marvel Universe, primarily associated with businessman and Iron Man adversary Obadiah Stane.
-
E.
Ostar Enterprises
Ostar Enterprises is a television and film production company known for developing and producing scripted entertainment projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0291ee881908fb10a8ccd7faa41 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414cd5d481908d11eb230d2283cd |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.