Triple
T16431829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WATSON camera |
E399085
|
entity |
| Predicate | engineeringRole |
P122756
|
FINISHED |
| Object | inspect rover components for wear or damage |
—
|
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: inspect rover components for wear or damage | Statement: [WATSON camera, engineeringRole, inspect rover components for wear or damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineeringRole Context triple: [WATSON camera, engineeringRole, inspect rover components for wear or damage]
-
A.
technologyRole
Indicates the functional role or purpose that a technology plays within a system, process, or context.
-
B.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
C.
codeRole
Indicates a relationship where an entity serves a specific role or function within a piece of code or software system.
-
D.
developerOccupation
Indicates that an entity works in a developer role or profession, such as software or application development.
-
E.
developmentRole
Indicates that an entity participates in the creation, design, or production of another entity in a specific developmental capacity or function.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9dffe48190a23852f828af55d8 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.