Triple
T38024885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inspiration4 |
E948743
|
entity |
| Predicate | capsuleModification |
P189870
|
FINISHED |
| Object | cupola window installed in place of docking adapter |
—
|
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: cupola window installed in place of docking adapter | Statement: [Inspiration4, capsuleModification, cupola window installed in place of docking adapter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capsuleModification Context triple: [Inspiration4, capsuleModification, cupola window installed in place of docking adapter]
-
A.
capsule
Indicates that one entity is a capsule containing, enclosing, or encapsulating another entity.
-
B.
capsuleType
Indicates the specific kind or category of capsule associated with an entity.
-
C.
capsuleFeature
Indicates that something possesses a characteristic, attribute, or property specifically related to a capsule.
-
D.
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).
-
E.
modificationBy
Indicates that one entity has been altered, changed, or adjusted as a result of an action performed by 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:20 p.m.