Triple
T18383624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seligenstadt |
E446520
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Triel-sur-Seine |
—
|
NE NERFINISHED |
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: Triel-sur-Seine | Statement: [Seligenstadt, twinTown, Triel-sur-Seine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triel-sur-Seine Context triple: [Seligenstadt, twinTown, Triel-sur-Seine]
-
A.
Triel-sur-Seine
chosen
Triel-sur-Seine is a commune in the Yvelines department of north-central France, situated along the Seine River to the northwest of Paris.
-
B.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
C.
Essonnes
Essonnes was a former commune in northern France that later became part of the town of Corbeil-Essonnes in the Île-de-France region.
-
D.
Gonesse
Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
-
E.
Meyriez
Meyriez is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of Lake Murten.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.