Triple
T17023943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV services |
E413016
|
entity |
| Predicate | majorHub |
P2958
|
FINISHED |
| Object | Lyon Part-Dieu |
E20605
|
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: Lyon Part-Dieu | Statement: [TGV services, majorHub, Lyon Part-Dieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyon Part-Dieu Context triple: [TGV services, majorHub, Lyon Part-Dieu]
-
A.
Quartier Part-Dieu
Quartier Part-Dieu is Lyon’s main business district, known for its high-rise offices, major shopping center, and one of France’s busiest railway stations.
-
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.
Parc André Malraux
Parc André Malraux is a large urban green space in Nanterre, France, known for its landscaped lawns, lakes, and recreational areas near the La Défense business district.
-
D.
Bellecour metro station
Bellecour metro station is a central underground transit hub in Lyon, France, located beneath the prominent Place Bellecour in the Presqu’île district.
-
E.
Lyon-Part-Dieu railway station
chosen
Lyon-Part-Dieu railway station is a major high-speed and regional rail hub in Lyon, France, serving as one of the country’s busiest and most important transport interchanges.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d2abbc81908943becf5f539fc6 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.