Triple
T37660625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCH-1000 |
E937709
|
entity |
| Predicate | hasMotionSensors |
P17204
|
FINISHED |
| Object | three-axis gyroscope |
—
|
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: three-axis gyroscope | Statement: [PCH-1000, hasMotionSensors, three-axis gyroscope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotionSensors Context triple: [PCH-1000, hasMotionSensors, three-axis gyroscope]
-
A.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
B.
requiresExternalSensors
Indicates that performing this action or maintaining this relationship depends on input or data from sensors that are external to the entity itself.
-
C.
hasProximitySensor
Indicates that an entity is equipped with a sensor capable of detecting nearby objects or measuring its distance to them.
-
D.
numberOfSensors
Indicates the quantity of sensors associated with or contained by a given entity.
-
E.
sensorsLocation
Indicates that a sensor is physically or logically situated at a specific location.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 3, 2026, 4:18 p.m.