Triple
T661380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV |
E11761
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
InOui
InOui is the premium high-speed service brand used by France’s TGV trains, emphasizing enhanced comfort and onboard amenities.
|
E82677
|
NE FINISHED |
How this triple was built (4 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: InOui | Statement: [TGV, branding, InOui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InOui Context triple: [TGV, branding, InOui]
-
A.
Bougros
Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Voulez-Vous
"Voulez-Vous" is a disco-driven ABBA song known for its energetic rhythm and prominent use in the musical and film adaptation of Mamma Mia!.
-
D.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
E.
La Vie Claire
La Vie Claire was a prominent French professional cycling team of the 1980s, known for its star-studded roster and innovative, Mondrian-inspired jersey design.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: InOui Triple: [TGV, branding, InOui]
Generated description
InOui is the premium high-speed service brand used by France’s TGV trains, emphasizing enhanced comfort and onboard amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: InOui Target entity description: InOui is the premium high-speed service brand used by France’s TGV trains, emphasizing enhanced comfort and onboard amenities.
-
A.
Bougros
Bougros is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Voulez-Vous
"Voulez-Vous" is a disco-driven ABBA song known for its energetic rhythm and prominent use in the musical and film adaptation of Mamma Mia!.
-
D.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
E.
La Vie Claire
La Vie Claire was a prominent French professional cycling team of the 1980s, known for its star-studded roster and innovative, Mondrian-inspired jersey design.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69a5c47442188190b26b31f2901478a1 |
completed | March 2, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ce7f2b6881909f6c657f8b9c5347 |
completed | March 2, 2026, 5:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.