Triple
T22784800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Houellebecq |
E563934
|
entity |
| Predicate | work |
P12692
|
FINISHED |
| Object | Plateforme |
—
|
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: Plateforme | Statement: [Michel Houellebecq, work, Plateforme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plateforme Context triple: [Michel Houellebecq, work, Plateforme]
-
A.
Plateforme
chosen
Plateforme is a controversial 2001 novel by French author Michel Houellebecq that explores themes of sex tourism, globalization, and Western disillusionment through the story of a disenchanted civil servant.
-
B.
Plateforme 10
Plateforme 10 is a major arts district and museum hub in Lausanne, Switzerland, bringing together several of the city’s leading cultural institutions on a former railway site.
-
C.
Platform 2
Platform 2 is one of the passenger train platforms at Northampton railway station in Northampton, England.
-
D.
Platform 2
Platform 2 is one of the passenger train platforms at Luton railway station in Bedfordshire, England.
-
E.
Platform One
Platform One is a massive, futuristic space station in the Doctor Who universe where wealthy beings gather to witness the destruction of Earth far in the future.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c30b4dc8190a5e23f4ce7feb300 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.