Triple
T16150651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelohania solenopsae |
E391900
|
entity |
| Predicate | infectsLifeStage |
P121601
|
FINISHED |
| Object | fire ant workers |
—
|
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: fire ant workers | Statement: [Thelohania solenopsae, infectsLifeStage, fire ant workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectsLifeStage Context triple: [Thelohania solenopsae, infectsLifeStage, fire ant workers]
-
A.
infectsTissue
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
-
B.
infectionMethod
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
C.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
-
D.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
-
E.
becomesPathogenicUnder
Indicates that an entity transitions into a disease-causing or harmful state when exposed to a specified condition or factor.
- F. None of above. chosen
Provenance (4 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9724808190a8332987583a345a |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e18445155481909892b8aaa23cc159 |
completed | April 17, 2026, 12:52 a.m. |
Created at: April 10, 2026, 5:01 a.m.