Triple
T6142923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doubs River |
E137004
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Dole |
E180721
|
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: Dole | Statement: [Doubs River, passesThrough, Dole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dole Context triple: [Doubs River, passesThrough, Dole]
-
A.
Dole
chosen
Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
-
B.
Dole
Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
-
C.
Milton Banana
Milton Banana was a Brazilian drummer renowned for his pioneering role in the development and popularization of bossa nova.
-
D.
Driscoll
Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
-
E.
Durio
Durio is a genus of tropical trees best known for producing durian, a large, spiky fruit famous for its strong odor and rich, custard-like flesh.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb50cb0819081ac64becf7aaf55 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135f88db881908b8a5d9c35bf0fbb |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:16 p.m.