Triple
T8472251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola RAZR V3 |
E200306
|
entity |
| Predicate | hasSpeakerphone |
P83515
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Motorola RAZR V3, hasSpeakerphone, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeakerphone Context triple: [Motorola RAZR V3, hasSpeakerphone, yes]
-
A.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
-
B.
hasVoiceSystem
Indicates that one entity possesses or is equipped with a particular voice-based system or voice technology.
-
C.
hasMicrophones
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
D.
haveRichVoiceSystem
Indicates that an entity possesses a voice system characterized by richness, such as depth, fullness, or expressive quality.
-
E.
hasCellularComponent
Indicates that an entity possesses, includes, or is associated with a specific cellular component as part of its structure or organization.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:11 p.m.