Triple
T15779273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon Metro line D |
E382568
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Valmy
Valmy is a metro station on Lyon's Line D serving the Vaise district in the 9th arrondissement of Lyon, France.
|
E1180249
|
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: Valmy | Statement: [Lyon Metro line D, hasStation, Valmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valmy Context triple: [Lyon Metro line D, hasStation, Valmy]
-
A.
Valmy
Valmy is a village in northeastern France historically renowned as the site of the pivotal 1792 Battle of Valmy during the French Revolutionary Wars.
-
B.
Cambronne
Cambronne is a Paris Métro station located in the 15th arrondissement, named after the French general Pierre Cambronne.
-
C.
Régnié
Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
-
D.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
E.
Haguenau
Haguenau is a historic town in northeastern France’s Alsace region, known for its medieval heritage, cultural traditions, and role as a local economic center.
- 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: Valmy Triple: [Lyon Metro line D, hasStation, Valmy]
Generated description
Valmy is a metro station on Lyon's Line D serving the Vaise district in the 9th arrondissement of Lyon, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valmy Target entity description: Valmy is a metro station on Lyon's Line D serving the Vaise district in the 9th arrondissement of Lyon, France.
-
A.
Valmy
Valmy is a village in northeastern France historically renowned as the site of the pivotal 1792 Battle of Valmy during the French Revolutionary Wars.
-
B.
Cambronne
Cambronne is a Paris Métro station located in the 15th arrondissement, named after the French general Pierre Cambronne.
-
C.
Régnié
Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
-
D.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
E.
Haguenau
Haguenau is a historic town in northeastern France’s Alsace region, known for its medieval heritage, cultural traditions, and role as a local economic center.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12d6f388190b61cdc7820ce6311 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 4:48 a.m.