Triple
T8721068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du 18-Juin-1940 |
E207011
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Rue de l'Arrivée |
E866694
|
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: Rue de l'Arrivée | Statement: [Place du 18-Juin-1940, hasNearbyStreet, Rue de l'Arrivée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue de l'Arrivée Context triple: [Place du 18-Juin-1940, hasNearbyStreet, Rue de l'Arrivée]
-
A.
Rue de l'Arrivée
chosen
Rue de l'Arrivée is a street in Paris, France, situated in the Montparnasse area near the Gare Montparnasse railway station.
-
B.
Rue du Départ
Rue du Départ is a street in Paris’s Montparnasse district, known for its proximity to the Gare Montparnasse and the Tour Montparnasse skyscraper.
-
C.
Avenue de Breteuil
Avenue de Breteuil is a broad, tree-lined avenue in Paris’s 7th arrondissement, known for its central green esplanade and views toward Les Invalides.
-
D.
Rue de Compiègne
Rue de Compiègne is a street in Paris, France, located near Rue de Dunkerque in the area around Gare du Nord.
-
E.
Avenue de Ségur
Avenue de Ségur is a major Parisian avenue in the 7th arrondissement, known for its government buildings and proximity to landmarks like the École Militaire and the UNESCO headquarters.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d03f0848190a50c77e5cd028ee7 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
Created at: March 30, 2026, 6:36 p.m.