Triple
T8721069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place du 18-Juin-1940 |
E207011
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Rue du Départ |
E868221
|
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 du Départ | Statement: [Place du 18-Juin-1940, hasNearbyStreet, Rue du Départ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue du Départ Context triple: [Place du 18-Juin-1940, hasNearbyStreet, Rue du Départ]
-
A.
Rue du Départ
chosen
Rue du Départ is a street in Paris’s Montparnasse district, known for its proximity to the Gare Montparnasse and the Tour Montparnasse skyscraper.
-
B.
Rue de Maubeuge
Rue de Maubeuge is a street in Paris, France, known for its proximity to major railway stations like Gare du Nord and its typical Haussmann-era urban architecture.
-
C.
Rue de la Huchette
Rue de la Huchette is a narrow, historic street in Paris’s Latin Quarter known for its lively restaurants, tourist shops, and traditional Parisian atmosphere.
-
D.
Rue du Fort
Rue du Fort is a street in Quebec City’s historic district, situated near the Dufferin Terrace and the iconic Château Frontenac.
-
E.
Rue du Château-d’Eau
Rue du Château-d’Eau is a street in Paris, France, located in the 10th arrondissement near Place de la République and known for its mix of shops, cafés, and multicultural atmosphere.
- 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_69d979c21f5481908bea7fd2c70d2c0b |
completed | April 10, 2026, 10:29 p.m. |
Created at: March 30, 2026, 6:36 p.m.