Triple
T2381504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 14 |
E46320
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Saint-Lazare |
E211473
|
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: Saint-Lazare | Statement: [Paris Métro Line 14, hasStation, Saint-Lazare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Lazare Context triple: [Paris Métro Line 14, hasStation, Saint-Lazare]
-
A.
Saint-Lazare
chosen
Saint-Lazare is one of Paris’s busiest transport hubs, serving as a major Métro interchange connected to the Gare Saint-Lazare railway station.
-
B.
La Part-Dieu
La Part-Dieu is a major business and commercial district in Lyon, France, known for its large shopping center, office towers, and central train station.
-
C.
Gare des Invalides
Gare des Invalides is a central Paris railway and RER station located near Les Invalides and the Seine, serving as a key commuter hub on line C.
-
D.
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.
-
E.
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.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b4f85c81909e5a4eda271b73ca |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:57 p.m.