Triple
T22605148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Togniniaceae |
E566534
|
entity |
| Predicate | containsGenus |
P9413
|
FINISHED |
| Object | Togninia |
—
|
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: Togninia | Statement: [Togniniaceae, containsGenus, Togninia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Togninia Context triple: [Togniniaceae, containsGenus, Togninia]
-
A.
Togninia
chosen
Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
-
B.
Tauranum
Tauranum was an ancient settlement located within the Roman administrative region of Samnium in Italy.
-
C.
Tetnuldi
Tetnuldi is a prominent peak in the central Caucasus Mountains of Georgia, known for its glaciated slopes and popular ski resort.
-
D.
Talauma
Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
-
E.
Tordino
Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f162709d808190af83837104a190f9 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:53 p.m.