Triple
T11067585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibliothèque François-Mitterrand |
E261664
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object | Quai de la Gare |
E370081
|
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: Quai de la Gare | Statement: [Bibliothèque François-Mitterrand, adjacentStation, Quai de la Gare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quai de la Gare Context triple: [Bibliothèque François-Mitterrand, adjacentStation, Quai de la Gare]
-
A.
Quai de la Gare
chosen
Quai de la Gare is a Paris Métro station located in the 13th arrondissement near the Seine, serving the surrounding riverside and cultural areas.
-
B.
Quai de la Rapée
Quai de la Rapée is a Paris Métro station located near the Seine in the 12th arrondissement, serving as a stop on the city’s rapid transit network.
-
C.
Quai de la Douane
Quai de la Douane is a waterfront quay in the Port of Nice, France, serving as a docking and loading area for maritime traffic.
-
D.
Quai de Bourbon
Quai de Bourbon is a historic riverside quay on the Île Saint-Louis in central Paris, known for its elegant 17th-century townhouses and views over the Seine.
-
E.
Quai de l’Archevêché
Quai de l’Archevêché is a riverside quay on Paris’s Île de la Cité, known for its views of Notre-Dame Cathedral and its location along the Seine.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79920428c81908db824ab54e08e8d |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28053fe08819099e848cd74b989a0 |
completed | April 29, 2026, 10:04 p.m. |
Created at: April 8, 2026, 9:26 p.m.