Triple
T15831210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon bus network |
E383874
|
entity |
| Predicate | hasServiceArea |
P82
|
FINISHED |
| Object |
Dardilly
Dardilly is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential character and proximity to the city of Lyon.
|
E1248136
|
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: Dardilly | Statement: [Lyon bus network, hasServiceArea, Dardilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dardilly Context triple: [Lyon bus network, hasServiceArea, Dardilly]
-
A.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
B.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
C.
Charigot
Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
-
D.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
E.
Ornans
Ornans is a small town in eastern France’s Franche-Comté region, best known as the birthplace of realist painter Gustave Courbet and the setting of several of his major works.
- 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: Dardilly Triple: [Lyon bus network, hasServiceArea, Dardilly]
Generated description
Dardilly is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential character and proximity to the city of Lyon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dardilly Target entity description: Dardilly is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential character and proximity to the city of Lyon.
-
A.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
B.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
C.
Charigot
Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
-
D.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
E.
Ornans
Ornans is a small town in eastern France’s Franche-Comté region, best known as the birthplace of realist painter Gustave Courbet and the setting of several of his major works.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6433ac8190a3d3e0d573673ea3 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232399008190b23dfaec237563ef |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0124ce490c81909d5cfd86b7dabb71 |
completed | May 11, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012569322081908b60694851d50e4b |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 10, 2026, 4:49 a.m.