Triple
T22248809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Chalon-sur-Saône |
E549915
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oslon
Oslon is a small commune in eastern France’s Saône-et-Loire department, situated near the town of Chalon-sur-Saône.
|
E1526929
|
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: Oslon | Statement: [arrondissement of Chalon-sur-Saône, contains, Oslon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oslon Context triple: [arrondissement of Chalon-sur-Saône, contains, Oslon]
-
A.
Olzino
Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
D.
Oson
Oson is a barangay (village-level administrative division) of the municipality of Capul in the province of Northern Samar, Philippines.
-
E.
Olsker
Olsker is a small village on the Danish island of Bornholm, known for its historic round church and rural surroundings.
- 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: Oslon Triple: [arrondissement of Chalon-sur-Saône, contains, Oslon]
Generated description
Oslon is a small commune in eastern France’s Saône-et-Loire department, situated near the town of Chalon-sur-Saône.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oslon Target entity description: Oslon is a small commune in eastern France’s Saône-et-Loire department, situated near the town of Chalon-sur-Saône.
-
A.
Olzino
Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
D.
Oson
Oson is a barangay (village-level administrative division) of the municipality of Capul in the province of Northern Samar, Philippines.
-
E.
Olsker
Olsker is a small village on the Danish island of Bornholm, known for its historic round church and rural surroundings.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bc69d48190b185d4b8f4089922 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab65e6d088190b8ed638d8c57a243 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab762ba7c8190a3a66c282de66392 |
completed | May 18, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7dc8dc08190a65c0a454f018b41 |
completed | May 18, 2026, 6:55 a.m. |
Created at: April 16, 2026, 8:38 p.m.