Triple
T1359529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIRST LEGO League |
E29065
|
entity |
| Predicate | robotAutonomy |
P3039
|
FINISHED |
| Object | fully autonomous robots |
—
|
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: fully autonomous robots | Statement: [FIRST LEGO League, robotAutonomy, fully autonomous robots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robotAutonomy Context triple: [FIRST LEGO League, robotAutonomy, fully autonomous robots]
-
A.
autonomousFor
Indicates that one entity operates or makes decisions independently on behalf of, or in place of, another specified context, system, or agent.
-
B.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
C.
isDriverless
chosen
Indicates that something operates or moves without a human driver controlling it.
-
D.
mobilityComponent
Indicates that one entity functions as a mobility-related component or module that enables or affects the movement capabilities of another entity.
-
E.
guidanceControl
Indicates that one entity directs, manages, or influences the behavior or decisions of another through guidance or control.
- F. None of above.
Provenance (3 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.