Triple
T30118940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega CDX |
E765501
|
entity |
| Predicate | hasLCDDisplay |
P127197
|
FINISHED |
| Object | true (for CD playback status) |
—
|
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: true (for CD playback status) | Statement: [Sega CDX, hasLCDDisplay, true (for CD playback status)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLCDDisplay Context triple: [Sega CDX, hasLCDDisplay, true (for CD playback status)]
-
A.
hasPhysicalDisplays
chosen
Indicates that an entity possesses one or more tangible, visible display units or interfaces.
-
B.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
-
C.
displayController
Indicates a relationship where one entity manages or controls the visual output or presentation of information on a display device for another entity.
-
D.
hasLumen
Indicates that one entity possesses or is characterized by a specific luminous intensity or light output measured in lumens.
-
E.
hasOnboardLED
Indicates that an entity includes an LED that is physically integrated into its hardware.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de8f6108190927e2d68b875d99b |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:12 p.m.