Triple
T6916590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bresse |
E160069
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Seille |
E455903
|
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: Seille | Statement: [Bresse, hasRiver, Seille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seille Context triple: [Bresse, hasRiver, Seille]
-
A.
Seille
chosen
Seille is a river in eastern France that flows through the regions of Jura and Saône-et-Loire before joining the Saône.
-
B.
Sejnane
Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
-
C.
Seirah
Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
-
D.
Ses Illetes
Ses Illetes is a renowned white-sand beach with crystal-clear turquoise waters on the Balearic island of Formentera, often ranked among the most beautiful beaches in the Mediterranean.
-
E.
Selänne
Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e034cc81908f1e8f31b055e119 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7491589c08190982a84f2b61b497b |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:26 p.m.