Triple
T14569148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DELAG |
E341863
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Banque de l’Allier |
E1153958
|
NE FINISHED |
How this triple was built (2 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’Allier | Statement: [DELAG, foundedBy, Banque de l’Allier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banque de l’Allier Context triple: [DELAG, foundedBy, Banque de l’Allier]
-
A.
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.
-
B.
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.
-
C.
Banque de la Loire
Banque de la Loire is a French regional bank that played a key role in financing local industry and commerce in the Loire area.
-
D.
Banque de Dijon
Banque de Dijon was a regional French bank based in Dijon that played a role in local finance and commerce before being absorbed into larger banking groups.
-
E.
Banque de la Marne
chosen
Banque de la Marne was a French regional bank that played a key role in local finance and later participated in the early development of civil aviation through its involvement with DELAG.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ff3d379bc881908b7954c633787165 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:23 a.m.