Triple
T21466544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schistosoma mansoni |
E529606
|
entity |
| Predicate | taxonAuthor |
P7386
|
FINISHED |
| Object | Sambon |
—
|
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: Sambon | Statement: [Schistosoma mansoni, taxonAuthor, Sambon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambon Context triple: [Schistosoma mansoni, taxonAuthor, Sambon]
-
A.
Sambon
chosen
Sambon was a zoologist and parasitologist known for his taxonomic work on parasitic organisms, including naming the human blood fluke Schistosoma mansoni.
-
B.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
-
C.
Sormitz
The Sormitz is a river in Thuringia, Germany, known for flowing through towns such as Leutenberg before joining the Saale.
-
D.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
E.
Sulem
Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:11 p.m.