Triple
T661337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV |
E11761
|
entity |
| Predicate | primaryHub |
P394
|
FINISHED |
| Object | Paris Gare de Lyon |
E6964
|
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: Paris Gare de Lyon | Statement: [TGV, primaryHub, Paris Gare de Lyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Gare de Lyon Context triple: [TGV, primaryHub, Paris Gare de Lyon]
-
A.
Gare de Lyon
chosen
Gare de Lyon is one of Paris’s major railway terminals, serving high-speed and regional trains to southeastern France and international destinations.
-
B.
Lyon-Perrache station
Lyon-Perrache station is one of Lyon’s main railway hubs, serving regional, national, and international train connections in southeastern France.
-
C.
Lyon-Part-Dieu railway station
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.
Gare Montparnasse
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.
-
E.
Reims station
Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa954988190841740a587ace466 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3963c588190b7116f3f7aad2687 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.