Triple
T3213799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trophis |
E67342
|
entity |
| Predicate | scientificName |
P1329
|
FINISHED |
| Object | Trophis |
E67342
|
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: Trophis | Statement: [Trophis, scientificName, Trophis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trophis Context triple: [Trophis, scientificName, Trophis]
-
A.
Trophis
chosen
Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
-
B.
Glyphotes
Glyphotes is a little-known genus of tree squirrels within the subfamily Callosciurinae, which comprises various colorful and arboreal Asian squirrel species.
-
C.
Phylacus
Phylacus is a figure from Greek mythology known as a leader of the Magnetes, a Thessalian people mentioned in epic tradition.
-
D.
Paratus
Paratus is the Latin motto of Bentley University, meaning "prepared" and reflecting the institution’s emphasis on readiness for professional and personal success.
-
E.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:07 p.m.