Triple
T15707866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belonogaster |
E380756
|
entity |
| Predicate | nestAttachment |
P10139
|
FINISHED |
| Object | often suspended from vegetation |
—
|
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: often suspended from vegetation | Statement: [Belonogaster, nestAttachment, often suspended from vegetation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nestAttachment Context triple: [Belonogaster, nestAttachment, often suspended from vegetation]
-
A.
nestType
Indicates the type or kind of nest associated with or used by an entity.
-
B.
nestFeature
Indicates that one entity is a structural or functional component contained within, or forming part of, another entity.
-
C.
attachedTo
chosen
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
-
D.
nestLocation
Indicates the place or environment where an animal or organism builds or maintains its nest.
-
E.
developsAttachmentTo
Indicates that one entity forms an emotional bond or sense of connection toward another entity.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.