Triple
T15833694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AQUOS |
E383931
|
entity |
| Predicate | hasDisplayTechnology |
P6774
|
FINISHED |
| Object | LCD |
E845749
|
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: LCD | Statement: [AQUOS, hasDisplayTechnology, LCD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LCD Context triple: [AQUOS, hasDisplayTechnology, LCD]
-
A.
LCD
chosen
An LCD (liquid crystal display) is a flat-panel screen technology commonly used to visually present information on electronic devices.
-
B.
LCD TV
An LCD TV is a flat-panel television that uses liquid crystal display technology with a backlight to produce images, widely known for its affordability and broad market presence compared to newer display types.
-
C.
DLP technology
DLP technology is a digital display and projection system that uses microscopic mirrors to modulate light and create high-quality images in projectors and related devices.
-
D.
VDU
VDU is the Lithuanian abbreviation for Vytautas Magnus University, a prominent public university in Kaunas, Lithuania.
-
E.
LED
LED (light-emitting diode) is a highly efficient, long-lasting solid-state light source widely used in applications such as automotive headlamps, displays, and general illumination.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa137be2c81909c8f04b5cc1a5b21 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.