Triple
T8432305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberkampf (Paris Métro) |
E199141
|
entity |
| Predicate | adjacentStationOnLine9 |
P83323
|
FINISHED |
| Object | République (Paris Métro) |
E733977
|
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: République (Paris Métro) | Statement: [Oberkampf (Paris Métro), adjacentStationOnLine9, République (Paris Métro)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: République (Paris Métro) Context triple: [Oberkampf (Paris Métro), adjacentStationOnLine9, République (Paris Métro)]
-
A.
République (Paris Métro)
chosen
République is a major Paris Métro interchange station in central Paris, serving multiple lines and providing access to the Place de la République.
-
B.
Kléber (Paris Métro)
Kléber (Paris Métro) is a Paris Métro station on Line 6 located near the Arc de Triomphe in the 16th arrondissement.
-
C.
Vaugirard (Paris Métro)
Vaugirard (Paris Métro) is a station on Line 12 of the Paris Métro located in the 15th arrondissement of Paris.
-
D.
Falguière (Paris Métro)
Falguière is a Paris Métro station on Line 12 located in the 15th arrondissement near Montparnasse.
-
E.
Richard-Lenoir (Paris Métro)
Richard-Lenoir is a Paris Métro station on Line 5, located in the 11th arrondissement near Boulevard Richard-Lenoir.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4576d48c8190a3e94d8ab3001b65 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce399384ec81908d3ace592d1e3aea |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.