Triple
T35689574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A5L suit |
E1031251
|
entity |
| Predicate | contributedToDesignOf |
P198476
|
FINISHED |
| Object | Apollo A7L lunar EVA suit |
—
|
NE NERFINISHED |
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: Apollo A7L lunar EVA suit | Statement: [A5L suit, contributedToDesignOf, Apollo A7L lunar EVA suit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributedToDesignOf Context triple: [A5L suit, contributedToDesignOf, Apollo A7L lunar EVA suit]
-
A.
hasPartInHisDesign
Indicates that one entity is included as a component or element within the design or plan created by another entity.
-
B.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
C.
designedIn
Indicates that something was created, planned, or conceived during a particular time period or at a specific location.
-
D.
designedAsPartOfSystemBy
Indicates that an entity was intentionally created as a component or module within a larger system by a specific designer or designing agent.
-
E.
hasDesigned
Indicates that one entity is the creator or designer of 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
| PDg | Predicate description generation | batch_69fee690af688190a845310f102a0c83 |
completed | May 9, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:05 p.m.