Triple
T7130264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lille Europe |
E166167
|
entity |
| Predicate | connectsTo |
P845
|
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: [Lille Europe, connectsTo, Lyon Part-Dieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyon Part-Dieu Context triple: [Lille Europe, connectsTo, 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.
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.
-
D.
Châtelet–Les Halles
Châtelet–Les Halles is a major underground transport hub in central Paris, serving as one of the largest and busiest railway and metro stations in Europe.
-
E.
Lyon-Perrache station
Lyon-Perrache station is one of Lyon’s main railway hubs, serving regional, national, and international train connections in southeastern France.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66dc2388190bdec018f1cc6b20a |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33eea0481909f87e0813bc35b52 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.