Triple
T17162942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulevard du Montparnasse |
E416526
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Raspail station |
—
|
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: Raspail station | Statement: [Boulevard du Montparnasse, hasTransportConnection, Raspail station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raspail station Context triple: [Boulevard du Montparnasse, hasTransportConnection, Raspail station]
-
A.
Raspail station
chosen
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
B.
Pétillon station
Pétillon station is a Brussels Metro stop located in the eastern part of the city, serving local commuters on the network’s Line 5.
-
C.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
D.
Saint-Just station
Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
-
E.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 5:37 a.m.