Triple
T222759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European elm bark beetle |
E4251
|
entity |
| Predicate | threatTo |
P1358
|
FINISHED |
| Object | urban trees |
—
|
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: urban trees | Statement: [European elm bark beetle, threatTo, urban trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatTo Context triple: [European elm bark beetle, threatTo, urban trees]
-
A.
threat
chosen
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
-
B.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
-
C.
throws
Indicates that one entity propels or hurls another entity or object through space, typically by a deliberate physical action.
-
D.
attackType
Indicates the specific method, style, or category of attack used in an aggressive or hostile action between entities.
-
E.
toxicTo
Indicates that one entity causes harm, poisoning, or adverse effects to another when exposed or applied.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.