Triple
T37291208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micro800 |
E925668
|
entity |
| Predicate | supportsHMIIntegration |
P205822
|
FINISHED |
| Object | PanelView 800 |
E270791
|
NE 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: PanelView 800 | Statement: [Micro800, supportsHMIIntegration, PanelView 800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsHMIIntegration Context triple: [Micro800, supportsHMIIntegration, PanelView 800]
-
A.
hasModeIntegration
Indicates that one entity is integrated with, or supports integration of, a particular mode, method, or modality of operation.
-
B.
supportsTransportIntegrationWith
Indicates that one entity enables or is compatible with the integration of transport or transportation-related systems, services, or data with another entity.
-
C.
vehicleIntegration
Indicates the relationship by which a system, component, or service is incorporated into and made to work cohesively with a vehicle’s hardware, software, or operational environment.
-
D.
automotiveClassSupported
Indicates that a particular automotive class or category is supported or compatible within a given context or system.
-
E.
hasLandscapeIntegration
Indicates that an entity is designed or arranged in a way that it harmoniously fits into, interacts with, or complements its surrounding landscape.
- F. None of above. chosen
Provenance (5 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a405143faf88190b278a5f5f0e17f53 |
completed | June 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.