Triple
T13590507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agen |
E324679
|
entity |
| Predicate | isSeatOf |
P62
|
FINISHED |
| Object |
Agen canton
Agen canton is an administrative division in the Lot-et-Garonne department of southwestern France, centered around the city of Agen.
|
E1048730
|
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: Agen canton | Statement: [Agen, isSeatOf, Agen canton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agen canton Context triple: [Agen, isSeatOf, Agen canton]
-
A.
Cagni
Cagni is an Italian surname most notably associated with Luigi Cagni, a former professional footballer and football manager.
-
B.
Barelli
Barelli is an Italian surname associated with figures such as the 17th-century architect Agostino Barelli.
-
C.
Kotane
Kotane is a surname most notably associated with Moses Kotane, a prominent South African anti-apartheid activist and leader of the South African Communist Party.
-
D.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
-
E.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
- 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: Agen canton Triple: [Agen, isSeatOf, Agen canton]
Generated description
Agen canton is an administrative division in the Lot-et-Garonne department of southwestern France, centered around the city of Agen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agen canton Target entity description: Agen canton is an administrative division in the Lot-et-Garonne department of southwestern France, centered around the city of Agen.
-
A.
Cagni
Cagni is an Italian surname most notably associated with Luigi Cagni, a former professional footballer and football manager.
-
B.
Barelli
Barelli is an Italian surname associated with figures such as the 17th-century architect Agostino Barelli.
-
C.
Kotane
Kotane is a surname most notably associated with Moses Kotane, a prominent South African anti-apartheid activist and leader of the South African Communist Party.
-
D.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
-
E.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 9, 2026, 9:49 p.m.