Triple
T14037190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OASA |
E337742
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | OSY S.A. |
E1075059
|
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: OSY S.A. | Statement: [OASA, collaboratesWith, OSY S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSY S.A. Context triple: [OASA, collaboratesWith, OSY S.A.]
-
A.
OSY S.A.
chosen
OSY S.A. is a public transport company in Athens responsible for operating key urban transit services, including the city’s trolleybus network.
-
B.
OASA Group
OASA Group is the public transport authority in the Athens metropolitan area, overseeing and coordinating multiple transit operators and services.
-
C.
Orange S.A.
Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
-
D.
Lyria SAS
Lyria SAS is a Franco-Swiss rail company that operates high-speed TGV Lyria train services connecting France and Switzerland.
-
E.
OCP Group
OCP Group is a Moroccan state-owned phosphate mining and fertilizer manufacturing company and one of the world’s leading producers of phosphate-based products.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65a21088190a14808d09b2b9f42 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.