Triple
T8720060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER Normandie |
E206987
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Argentan |
E227509
|
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: Argentan | Statement: [TER Normandie, connectsCity, Argentan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argentan Context triple: [TER Normandie, connectsCity, Argentan]
-
A.
Argentan
chosen
Argentan is a historic town in the Orne department of Normandy, northwestern France, known for its lace-making tradition and World War II history.
-
B.
Argentaria
Argentaria was a Spanish state-owned banking group that later merged into what is now Banco Bilbao Vizcaya Argentaria (BBVA).
-
C.
Argen
Argen is a river in southern Germany that flows through the Allgäu region before emptying into Lake Constance.
-
D.
Argentina
Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
-
E.
Pais
Pais is a surname most notably associated with Abraham Pais, a Dutch-American physicist and science historian known for his influential biographies of Albert Einstein and other physicists.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:36 p.m.