Triple
T13035955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free |
E326560
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Bouygues Telecom |
E132001
|
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: Bouygues Telecom | Statement: [Free, competitor, Bouygues Telecom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bouygues Telecom Context triple: [Free, competitor, Bouygues Telecom]
-
A.
France Télécom
France Télécom was the former state-owned French telecommunications company that evolved into Orange S.A., a major global telecom operator.
-
B.
Télécom Bretagne
Télécom Bretagne was a leading French grande école and engineering school specializing in telecommunications and information technologies, later integrated into IMT Atlantique.
-
C.
Bouygues
chosen
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
-
D.
Free (French telecommunications company)
Free is a major French telecommunications operator known for its low-cost, disruptive internet and mobile offers that helped transform France’s telecom market.
-
E.
Deutsche Telekom
Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5fa10fc81908a37b85894f8f849 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:55 p.m.