Triple
T33731962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Block II Command and Service Module |
E864295
|
entity |
| Predicate | serviceModuleShape |
P191915
|
FINISHED |
| Object | cylindrical module |
—
|
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: cylindrical module | Statement: [Block II Command and Service Module, serviceModuleShape, cylindrical module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceModuleShape Context triple: [Block II Command and Service Module, serviceModuleShape, cylindrical module]
-
A.
serviceModuleType
Indicates the type or category of a service module associated with an entity or system.
-
B.
serviceModuleFunction
Indicates that a function is provided or performed by a specific service module within a system.
-
C.
serviceModuleOrigin
Indicates the original source or provider from which a service module is derived or obtained.
-
D.
serviceModuleCompanion
Indicates that one module functions as a supporting or companion service module to another module.
-
E.
serviceComponent
Indicates that one entity functions as a component or sub-part within the structure or implementation of a larger service.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 1, 2026, 1:44 a.m.