Triple
T15922767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seine river banks |
E386132
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Île de la Cité |
E43231
|
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: Île de la Cité | Statement: [Seine river banks, contains, Île de la Cité]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Île de la Cité Context triple: [Seine river banks, contains, Île de la Cité]
-
A.
Île de la Cité
chosen
Île de la Cité is a historic island in the Seine at the heart of Paris, regarded as the city's medieval and spiritual center.
-
B.
Marbeuf
Marbeuf was an early name used by Franklin D. Roosevelt before he became widely known under his given name as the 32nd president of the United States.
-
C.
Saint-Philippe du Roule
Saint-Philippe du Roule is a Paris Métro station in the 8th arrondissement, serving the upscale district near the Champs-Élysées.
-
D.
Paris quays
Paris quays are the scenic riverfront embankments along the Seine in Paris, renowned for their historic architecture, promenades, and cultural life.
-
E.
Saint-Michel–Notre-Dame area
The Saint-Michel–Notre-Dame area is a central Parisian district around the Seine near Île de la Cité, known for its major transport hubs, historic architecture, and proximity to landmarks like Notre-Dame Cathedral and the Latin Quarter.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156832a248190bed479bf835a469c |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5aba70c8190a74c45bce6f9b782 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.