Triple
T30247034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilletia |
E769083
|
entity |
| Predicate | infectionTissue |
P6647
|
FINISHED |
| Object | ovaries of cereals |
—
|
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: ovaries of cereals | Statement: [Tilletia, infectionTissue, ovaries of cereals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectionTissue Context triple: [Tilletia, infectionTissue, ovaries of cereals]
-
A.
infectsTissue
chosen
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
B.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
-
C.
infectionResult
Indicates that one entity causes or leads to a particular outcome, condition, or state as a result of an infection affecting another entity.
-
D.
infectionPattern
Indicates the characteristic way an infection develops, spreads, or manifests over time or across hosts or tissues.
-
E.
infectionPhase
Indicates the specific stage or period within the course of an infection that an entity is currently experiencing.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68076663c81909007e32c28266d12 |
completed | May 2, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:39 p.m.