Triple
T15686005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Express |
E380201
|
entity |
| Predicate | ownerOf |
P347
|
FINISHED |
| Object | Lexpress.fr |
E1171685
|
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: Lexpress.fr | Statement: [L’Express, ownerOf, Lexpress.fr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexpress.fr Context triple: [L’Express, ownerOf, Lexpress.fr]
-
A.
Lexpress.fr
chosen
Lexpress.fr is the online news and media platform of the French weekly magazine L’Express, offering articles, analyses, and current affairs coverage.
-
B.
Xpress
Xpress is a regional public transit service in Georgia that provides commuter bus connections between suburban areas and major employment centers.
-
C.
Channel Express
Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
-
D.
UP Express
UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
-
E.
National Express
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.