Triple
T16150675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelohania solenopsae |
E391900
|
entity |
| Predicate | impactOnReproduction |
P121603
|
FINISHED |
| Object | reduces production of new queens |
—
|
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 production of new queens | Statement: [Thelohania solenopsae, impactOnReproduction, reduces production of new queens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnReproduction Context triple: [Thelohania solenopsae, impactOnReproduction, reduces production of new queens]
-
A.
hasReproduction
Indicates that one entity possesses or exhibits a particular mode, process, or capability of reproduction.
-
B.
reproductionRate
Indicates the frequency or speed at which an entity produces new offspring or copies of itself over a given time or condition.
-
C.
viewOnReproduction
Indicates a stance, belief, or perspective that an entity holds regarding reproduction or reproductive practices.
-
D.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
E.
reproductiveFeature
Indicates a relationship where an entity possesses or is characterized by a particular reproductive trait, structure, or capability.
- 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.