Triple
T14305150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auteuil |
E354675
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Michel-Ange–Auteuil |
E548776
|
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: Michel-Ange–Auteuil | Statement: [Auteuil, hasMetroStation, Michel-Ange–Auteuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel-Ange–Auteuil Context triple: [Auteuil, hasMetroStation, Michel-Ange–Auteuil]
-
A.
Michel-Ange–Auteuil
chosen
Michel-Ange–Auteuil is a Paris Métro station in the 16th arrondissement, serving as an interchange between lines 9 and 10.
-
B.
Mont des Arts
Mont des Arts is a historic urban complex and elevated garden in central Brussels, Belgium, known for its panoramic views, cultural institutions, and landmark architecture.
-
C.
Notre-Dame du Raincy
Notre-Dame du Raincy is a pioneering early 20th-century reinforced-concrete church near Paris, celebrated as a landmark of modernist religious architecture.
-
D.
Basilique Saint-Denys d'Argenteuil
Basilique Saint-Denys d'Argenteuil is a historic Catholic basilica in Argenteuil, France, known for its medieval origins and religious heritage.
-
E.
Nanterre–La Folie
Nanterre–La Folie is a planned major railway station in Nanterre, France, intended to serve as a key hub in the Paris regional rail and Grand Paris Express networks.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2a56a4819095b5c2164b1ad9fb |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.