Triple
T17082661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porte de Saint-Ouen |
E414512
|
entity |
| Predicate | originalLine |
P33933
|
FINISHED |
| Object | Nord-Sud Line B |
E414193
|
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: Nord-Sud Line B | Statement: [Porte de Saint-Ouen, originalLine, Nord-Sud Line B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord-Sud Line B Context triple: [Porte de Saint-Ouen, originalLine, Nord-Sud Line B]
-
A.
Nord-Sud Line B
chosen
Nord-Sud Line B was the original name of what is now Paris Métro Line 13, a major north–south subway line in the French capital.
-
B.
Nord-Sud line A
Nord-Sud line A was the original name of what is now Paris Métro Line 12, a north–south underground railway line in Paris.
-
C.
Metro Line 5
Metro Line 5 is a rapid transit route within a city's metro system that connects with Metro Line 6 at one or more interchange stations.
-
D.
Metro Line 4
Metro Line 4 is a rapid transit route within a city's metro system that connects with other lines, including Metro Line 6, to facilitate passenger transfers across the network.
-
E.
Metro Line 2
Metro Line 2 is one of the main lines of the Mexico City Metro system, running north–south through key residential and commercial areas and serving as a major transit corridor for daily commuters.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe408d48190b4f52c2102eae7c2 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01482597e88190859b35b1c4aa8e84 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.