Triple
T7089203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philips Hue |
E165148
|
entity |
| Predicate | hasAccessoryType |
P74466
|
FINISHED |
| Object | dimmer switch |
—
|
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: dimmer switch | Statement: [Philips Hue, hasAccessoryType, dimmer switch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessoryType Context triple: [Philips Hue, hasAccessoryType, dimmer switch]
-
A.
hasAccessoryEcosystem
Indicates that an entity is associated with a surrounding set of compatible accessories, add-ons, or peripheral products designed to work with it.
-
B.
hasCabType
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasAcquisitionType
Indicates the specific kind or category of acquisition relationship that exists between one entity acquiring another.
-
E.
hasChassisType
Indicates that an entity is associated with or equipped with a specific type of chassis.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52ec0348190ac090c2fee3edfb8 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.