Triple
T1151045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiostomataceae |
E23677
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object | Ophiostoma |
E8929
|
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: Ophiostoma | Statement: [Ophiostomataceae, includesGenus, Ophiostoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ophiostoma Context triple: [Ophiostomataceae, includesGenus, Ophiostoma]
-
A.
Ophiostoma
chosen
Ophiostoma is a genus of fungi best known for containing species that cause Dutch elm disease in elm trees.
-
B.
Ophiostoma ips
Ophiostoma ips is a species of fungus commonly associated with bark beetles and known for causing blue stain in conifer wood.
-
C.
Ophiostoma piceae
Ophiostoma piceae is a species of sap-staining fungus commonly associated with coniferous trees and known for causing blue stain in lumber.
-
D.
Ophiostoma quercus
Ophiostoma quercus is a species of fungus in the genus Ophiostoma, commonly associated with wood and bark of oak trees and known for its role in tree diseases and wood discoloration.
-
E.
Ophiostoma himal-ulmi
Ophiostoma himal-ulmi is a species of fungus in the Ophiostoma genus, known for its association with tree diseases similar to Dutch elm disease.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667a61248190b71033daadef58e3 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:44 p.m.