Triple
T14569188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DELAG |
E341863
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Banque de l’Aude
Banque de l’Aude was a regional French bank that operated in the Aude department, providing local financial and banking services.
|
E1218578
|
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: Banque de l’Aude | Statement: [DELAG, foundedBy, Banque de l’Aude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banque de l’Aude Context triple: [DELAG, foundedBy, Banque de l’Aude]
-
A.
Banque du Gard
Banque du Gard was a regional French bank that played a key role in local finance and later became part of the DELAG corporate structure.
-
B.
Banque du Lot
Banque du Lot was a regional French bank that played a key role in financing local economic activity in the Lot department.
-
C.
Banque de l’Oise
Banque de l’Oise was a regional French bank that played a role in local finance and industry development in the Oise department.
-
D.
Banque de l’Orne
Banque de l’Orne was a regional French bank historically active in the Orne department, involved in local commercial and industrial finance.
-
E.
Banque de l’Aisne
Banque de l’Aisne was a French regional bank that played a role in early 20th-century industrial and aviation financing.
- 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: Banque de l’Aude Triple: [DELAG, foundedBy, Banque de l’Aude]
Generated description
Banque de l’Aude was a regional French bank that operated in the Aude department, providing local financial and banking services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banque de l’Aude Target entity description: Banque de l’Aude was a regional French bank that operated in the Aude department, providing local financial and banking services.
-
A.
Banque du Gard
Banque du Gard was a regional French bank that played a key role in local finance and later became part of the DELAG corporate structure.
-
B.
Banque du Lot
Banque du Lot was a regional French bank that played a key role in financing local economic activity in the Lot department.
-
C.
Banque de l’Oise
Banque de l’Oise was a regional French bank that played a role in local finance and industry development in the Oise department.
-
D.
Banque de l’Orne
Banque de l’Orne was a regional French bank historically active in the Orne department, involved in local commercial and industrial finance.
-
E.
Banque de l’Aisne
Banque de l’Aisne was a French regional bank that played a role in early 20th-century industrial and aviation financing.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f2121481908f2385637944785d |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006065741c8190ad4ceb6bd3d60f9f |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00620e66788190acccf2c8fce00943 |
completed | May 10, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062665d908190b8127b21edcad30e |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 10, 2026, 1:23 a.m.