Triple
T25641772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Shepard |
E642854
|
entity |
| Predicate | capsuleFeature |
P158951
|
FINISHED |
| Object | large windows |
—
|
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: large windows | Statement: [New Shepard, capsuleFeature, large windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capsuleFeature Context triple: [New Shepard, capsuleFeature, large windows]
-
A.
capsule
Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
-
B.
capsuleFunction
Indicates that a capsule is designed or used to perform a particular function, role, or therapeutic purpose.
-
C.
capsuleType
Indicates the specific kind or category of capsule associated with an entity.
-
D.
capsuleName
Indicates that an entity has the specified name or label of a capsule (such as a pill, container, or encapsulated unit).
-
E.
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).
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faa11fa88190a7bb53c814995268 |
completed | May 2, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 5:44 p.m.