Triple
T20259177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Robshaw |
E498784
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | France Télécom R&D |
—
|
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: France Télécom R&D | Statement: [Matt Robshaw, employer, France Télécom R&D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Télécom R&D Context triple: [Matt Robshaw, employer, France Télécom R&D]
-
A.
Nokia Bell Labs France
Nokia Bell Labs France is the French research and innovation center of Nokia Bell Labs, focusing on advanced telecommunications and digital technologies.
-
B.
France Télécom
chosen
France Télécom was the former state-owned French telecommunications company that evolved into Orange S.A., a major global telecom operator.
-
C.
Télécom Nancy
Télécom Nancy is a French grande école of engineering specializing in computer science and digital technologies, located in Nancy and part of the Université de Lorraine.
-
D.
Télécom Physique Strasbourg
Télécom Physique Strasbourg is a French engineering grande école in Strasbourg specializing in telecommunications, electronics, and computer science.
-
E.
Télécom Bretagne
Télécom Bretagne was a leading French grande école and engineering school specializing in telecommunications and information technologies, later integrated into IMT Atlantique.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c84e848190a6e8956698b84026 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.