Triple
T37823571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacinian corpuscle |
E942989
|
entity |
| Predicate | capsuleComposedOf |
P143902
|
FINISHED |
| Object | flattened Schwann cells |
—
|
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: flattened Schwann cells | Statement: [Pacinian corpuscle, capsuleComposedOf, flattened Schwann cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capsuleComposedOf Context triple: [Pacinian corpuscle, capsuleComposedOf, flattened Schwann cells]
-
A.
capsule
Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
-
B.
capsuleSystem
Indicates a relationship where an entity functions as or belongs to a capsule-based system (e.g., a system organized around or implemented via capsules).
-
C.
capsuleType
Indicates the specific kind or category of capsule associated with an entity.
-
D.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
E.
composéDe
chosen
Indicates that something is made up of, or consists of, one or more constituent parts.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.