Triple
T393471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiostoma |
E8929
|
entity |
| Predicate | interactionWithInsects |
P10866
|
FINISHED |
| Object | forms mutualistic associations with bark beetles |
—
|
LITERAL 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: forms mutualistic associations with bark beetles | Statement: [Ophiostoma, interactionWithInsects, forms mutualistic associations with bark beetles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interactionWithInsects Context triple: [Ophiostoma, interactionWithInsects, forms mutualistic associations with bark beetles]
-
A.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
B.
pillar
Indicates that one entity serves as a fundamental support or central, stabilizing element for another entity or system.
-
C.
hasInvasiveSpecies
Indicates that an area, ecosystem, or habitat contains one or more species that are non-native and causing or likely to cause ecological, economic, or environmental harm.
-
D.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
-
E.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
- F. None of above. chosen
Provenance (4 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7637c08190b695ec640edbf6c2 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96a8ca48190abbd8de9b02c115c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.