Triple
T6317513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xylariales |
E141651
|
entity |
| Predicate | typicalEcology |
P25102
|
FINISHED |
| Object | wood-decaying |
—
|
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: wood-decaying | Statement: [Xylariales, typicalEcology, wood-decaying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEcology Context triple: [Xylariales, typicalEcology, wood-decaying]
-
A.
hasEcology
chosen
Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
-
B.
ecologicalRelevance
Indicates that one entity has significance, impact, or importance for the functioning, stability, or dynamics of another entity’s ecosystem or ecological context.
-
C.
ecologicalStatus
Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
-
D.
ecologicalSensitivity
Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
-
E.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c25530819080b29e0029175c00 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.