Triple
T1926129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEGO Mindstorms NXT |
E40834
|
entity |
| Predicate | hasActuatorType |
P33529
|
FINISHED |
| Object | servo motor |
—
|
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: servo motor | Statement: [LEGO Mindstorms NXT, hasActuatorType, servo motor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActuatorType Context triple: [LEGO Mindstorms NXT, hasActuatorType, servo motor]
-
A.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
B.
hasActingType
Indicates that an entity participates in or performs an action in a specified manner, role, or mode of acting.
-
C.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
D.
hasMotivePowerType
Indicates that an entity (such as a vehicle or machine) operates using a specified type of motive power (e.g., electric, diesel, steam).
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb261ef8481909be2390ac5a02622 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb20c4970819086e66a5435744297 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:35 p.m.