Triple
T14084131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Athens Metro) |
E338944
|
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: [Line 3 (Athens Metro), operator, STASY S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STASY S.A. Context triple: [Line 3 (Athens Metro), 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.
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.
-
C.
STN International
STN International is a professional online scientific and technical information service widely used for advanced literature and patent searching in chemistry and related fields.
-
D.
OSY S.A.
OSY S.A. is a public transport company in Athens responsible for operating key urban transit services, including the city’s trolleybus network.
-
E.
Orlen
Orlen is a district of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7dc62b081909f3c9259295064cf |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:21 p.m.