Triple
T2647221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiostoma quercus |
E53811
|
entity |
| Predicate | growthEnvironment |
P8732
|
FINISHED |
| Object | grows in xylem vessels of oak |
—
|
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: grows in xylem vessels of oak | Statement: [Ophiostoma quercus, growthEnvironment, grows in xylem vessels of oak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growthEnvironment Context triple: [Ophiostoma quercus, growthEnvironment, grows in xylem vessels of oak]
-
A.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
B.
growthType
Indicates the manner or pattern in which something develops or increases over time.
-
C.
growthForm
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
D.
growsIn
chosen
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
E.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
- F. None of above.
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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd919bf2c81908feb768f3391e985 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.