Triple
T12216511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldrovanda |
E291098
|
entity |
| Predicate | trapTrigger |
P103844
|
FINISHED |
| Object | sensitive hairs |
—
|
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: sensitive hairs | Statement: [Aldrovanda, trapTrigger, sensitive hairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trapTrigger Context triple: [Aldrovanda, trapTrigger, sensitive hairs]
-
A.
trigger
Indicates that one entity causes or initiates an event, state, or action in another entity or system.
-
B.
trapType
Indicates the specific kind or category of trap associated with an entity or situation.
-
C.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
D.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
E.
usesTriggerSystem
Indicates that one entity operates or functions by means of a trigger-based mechanism or system provided or associated with another entity.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.