Triple
T12236351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America |
E291601
|
entity |
| Predicate | commandModuleFunction |
P103951
|
FINISHED |
| Object | crew control center |
—
|
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: crew control center | Statement: [America, commandModuleFunction, crew control center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandModuleFunction Context triple: [America, commandModuleFunction, crew control center]
-
A.
commandServiceModule
Indicates that one entity issues commands to control or manage the operation of a service module.
-
B.
commandModuleName
Indicates the name assigned to a specific command module within a system or application.
-
C.
commandModulePilot
Indicates that an entity serves as the pilot of a command module in a space mission or spacecraft system.
-
D.
commandName
Indicates the specific label or identifier used to denote a particular command within a system or interface.
-
E.
componentCommand
Indicates that one entity issues or defines a command that is executed or interpreted by another component within a system.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d92468052c819090546f36d009a64f |
completed | April 10, 2026, 4:25 p.m. |
Created at: April 8, 2026, 9:51 p.m.