Triple
T14472009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dijon-Bourgogne Airport |
E358867
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Longvic
Longvic is a commune in eastern France’s Côte-d’Or department, forming part of the suburban area just southeast of the city of Dijon.
|
E1100243
|
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: Longvic | Statement: [Dijon-Bourgogne Airport, adjacentTo, Longvic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longvic Context triple: [Dijon-Bourgogne Airport, adjacentTo, Longvic]
-
A.
Eiffage
Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
-
B.
Vinci Construction
Vinci Construction is a major global construction and civil engineering company specializing in large-scale infrastructure and building projects.
-
C.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
D.
Dampierre
Dampierre is a small French commune located in the Aube department in the Grand Est region of north-central France.
-
E.
Saint-Gobain
Saint-Gobain is a major French multinational corporation specializing in the production and distribution of construction materials and high-performance solutions for buildings and industry.
- 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: Longvic Triple: [Dijon-Bourgogne Airport, adjacentTo, Longvic]
Generated description
Longvic is a commune in eastern France’s Côte-d’Or department, forming part of the suburban area just southeast of the city of Dijon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longvic Target entity description: Longvic is a commune in eastern France’s Côte-d’Or department, forming part of the suburban area just southeast of the city of Dijon.
-
A.
Eiffage
Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
-
B.
Vinci Construction
Vinci Construction is a major global construction and civil engineering company specializing in large-scale infrastructure and building projects.
-
C.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
D.
Dampierre
Dampierre is a small French commune located in the Aube department in the Grand Est region of north-central France.
-
E.
Saint-Gobain
Saint-Gobain is a major French multinational corporation specializing in the production and distribution of construction materials and high-performance solutions for buildings and industry.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fab21c819090b6e209d8efba6e |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649e103c81908001b45c16d1fd79 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd658f2c1c8190b6a564dbe75fc2f2 |
completed | May 8, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd661c201c8190ba8ce1295849e8c1 |
completed | May 8, 2026, 4:27 a.m. |
Created at: April 10, 2026, 1:20 a.m.