Triple
T9440039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porte de Vincennes |
E227619
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Porte de Montreuil |
E548773
|
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: Porte de Montreuil | Statement: [Porte de Vincennes, connectsTo, Porte de Montreuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porte de Montreuil Context triple: [Porte de Vincennes, connectsTo, Porte de Montreuil]
-
A.
Porte de Montreuil
chosen
Porte de Montreuil is a Paris Métro station in the 20th arrondissement, serving a busy eastern gateway of the city near the Boulevard Périphérique.
-
B.
Porte Saint-Denis
Porte Saint-Denis is a monumental triumphal arch in Paris, built in the 17th century to commemorate the military victories of King Louis XIV.
-
C.
Porte de Clichy
Porte de Clichy is a major transport hub and neighborhood in northwestern Paris, known for its metro, RER, and tram connections near the city’s administrative and judicial complexes.
-
D.
Porte du Soubeyran
Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
-
E.
Porte Molitor
Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee36f908190826994db91b18466 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cd9ae548190bf985c72196eb0bd |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:50 p.m.