Triple
T15102549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du Châtelet |
E360704
|
entity |
| Predicate | locatedAtIntersectionOf |
P15085
|
FINISHED |
| Object | Quai de Gesvres |
E226383
|
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 Gesvres | Statement: [Place du Châtelet, locatedAtIntersectionOf, Quai de Gesvres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quai de Gesvres Context triple: [Place du Châtelet, locatedAtIntersectionOf, Quai de Gesvres]
-
A.
Quai de Gesvres
chosen
Quai de Gesvres is a riverside street along the right bank of the Seine in central Paris, known for its proximity to the historic Île de la Cité and the Hôtel de Ville.
-
B.
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.
-
C.
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.
-
D.
Quai de la Gare
Quai de la Gare is a Paris Métro station located in the 13th arrondissement near the Seine, serving the surrounding riverside and cultural areas.
-
E.
Quai du Port
Quai du Port is a historic waterfront promenade and street in Marseille’s Old Port area, lined with restaurants, cafés, and views of the harbor.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e6fc7c8190b517a7daa567d67c |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.