Triple
T222743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European elm bark beetle |
E4251
|
entity |
| Predicate | feedingHabit |
P1332
|
FINISHED |
| Object | phloem-feeding |
—
|
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: phloem-feeding | Statement: [European elm bark beetle, feedingHabit, phloem-feeding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedingHabit Context triple: [European elm bark beetle, feedingHabit, phloem-feeding]
-
A.
feast
Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
-
B.
diet
chosen
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
C.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
waterRequirement
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
E.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
- 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.