Triple
T2123237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris railway network |
E43972
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Gare Montparnasse |
E7771
|
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: Gare Montparnasse | Statement: [Paris railway network, hasComponent, Gare Montparnasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare Montparnasse Context triple: [Paris railway network, hasComponent, Gare Montparnasse]
-
A.
Gare Montparnasse
chosen
Gare Montparnasse is one of Paris’s major railway terminals, serving primarily southwestern France and known for its modern complex and historic 1895 train crash.
-
B.
Gare de Lyon
Gare de Lyon is one of Paris’s major railway terminals, serving high-speed and regional trains to southeastern France and international destinations.
-
C.
Gare de l'Est
Gare de l'Est is one of Paris's major railway stations, serving eastern France and international destinations such as Germany and Luxembourg.
-
D.
Gare de Champ-de-Mars–Tour-Eiffel
Gare de Champ-de-Mars–Tour-Eiffel is a Paris railway station near the Eiffel Tower that serves as a stop on the RER C suburban rail line.
-
E.
Gare du Nord
Gare du Nord is one of Europe's busiest railway stations in Paris, serving as a major hub for domestic and international train services, including routes to northern France, the UK, and other parts of Europe.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb5445848190bbc6dc1236e9f749 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e7fbc76c8190a66110203d53f055 |
completed | March 12, 2026, 4:21 p.m. |
Created at: March 4, 2026, 7:44 p.m.