Triple
T12076230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T2 |
E287554
|
entity |
| Predicate | hasStop |
P17789
|
FINISHED |
| Object | Suresnes – Longchamp |
E384471
|
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: Suresnes – Longchamp | Statement: [Tramway T2, hasStop, Suresnes – Longchamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suresnes – Longchamp Context triple: [Tramway T2, hasStop, Suresnes – Longchamp]
-
A.
Montrouge
Montrouge is a suburban commune just south of Paris, France, known for its dense urban character and proximity to the capital.
-
B.
Sèvres–Lecourbe
Sèvres–Lecourbe is a Paris Métro station in the 15th arrondissement, located near the intersection of Boulevard Garibaldi and Rue Lecourbe.
-
C.
Suresnes
chosen
Suresnes is a suburban commune in the western outskirts of Paris, France, known for its residential character and views over the Seine and the capital.
-
D.
Marolles
Marolles is a historic working-class neighborhood in central Brussels known for its vibrant flea market, antique shops, and lively street culture.
-
E.
Asnières–Gennevilliers–Les Courtilles
Asnières–Gennevilliers–Les Courtilles is a Paris Métro station in the northwestern suburbs serving the communes of Asnières-sur-Seine and Gennevilliers as a terminus of Line 13.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045ceeec81909427cae8972eed26 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f660f48881908d50bf27b0892953 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.