Triple
T13036022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station F |
E326562
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Xavier Niel |
E64957
|
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: Xavier Niel | Statement: [Station F, ownedBy, Xavier Niel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Niel Context triple: [Station F, ownedBy, Xavier Niel]
-
A.
Xavier Niel
chosen
Xavier Niel is a French billionaire entrepreneur and investor best known as the founder of the telecom company Iliad/Free and a prominent figure in France’s technology and startup ecosystem.
-
B.
Martin Bouygues
Martin Bouygues is a French businessman best known as the longtime chairman and CEO of the Bouygues industrial group, active in construction, media, and telecommunications.
-
C.
Francis Bouygues
Francis Bouygues was a French entrepreneur and engineer best known as the founder of the Bouygues construction and telecommunications conglomerate.
-
D.
Philippe Kahn
Philippe Kahn is a French technology entrepreneur and software engineer best known for founding Borland and inventing the first camera phone solution.
-
E.
Nicolas Vanier
Nicolas Vanier is a French adventurer, filmmaker, and writer known for his expeditions in cold regions and his nature-focused films and books.
- 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_69f6f5c5155c8190b2c4e5bbcdaadc47 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 8:55 p.m.