Triple
T37450598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pectobacterium |
E930660
|
entity |
| Predicate | hostTissueTarget |
P6647
|
FINISHED |
| Object | plant stems |
—
|
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: plant stems | Statement: [Pectobacterium, hostTissueTarget, plant stems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostTissueTarget Context triple: [Pectobacterium, hostTissueTarget, plant stems]
-
A.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
B.
infectsTissue
chosen
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
C.
pathogenTarget
Indicates that one entity acts as a pathogen that infects, affects, or causes disease in the target entity.
-
D.
hasTissue
Indicates that one entity possesses, contains, or is associated with a specific tissue of another entity.
-
E.
typicalHabitatInHost
Indicates that an organism’s usual or characteristic habitat occurs within a particular host organism.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.