Triple
T16150682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelohania solenopsae |
E391900
|
entity |
| Predicate | effectOnColonyStructure |
P44908
|
FINISHED |
| Object | reduces proportion of large, healthy colonies |
—
|
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: reduces proportion of large, healthy colonies | Statement: [Thelohania solenopsae, effectOnColonyStructure, reduces proportion of large, healthy colonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnColonyStructure Context triple: [Thelohania solenopsae, effectOnColonyStructure, reduces proportion of large, healthy colonies]
-
A.
hasColonyStructure
Indicates that an entity exhibits an organized colony form or structural arrangement characteristic of colonial living.
-
B.
affectedStructure
chosen
Indicates that one entity is the structure, component, or part that is impacted, altered, or influenced by another entity or event.
-
C.
colonyInteractedWith
Indicates that a colony has engaged in some form of interaction or exchange with another entity.
-
D.
shareDefenseStructure
Indicates that two or more entities utilize or are protected by the same defensive structure or system.
-
E.
affectedCivilization
Indicates that one civilization has experienced an impact, influence, or change as a result of another entity, event, or process.
- 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_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. |
Created at: April 10, 2026, 5:01 a.m.