Triple
T4051415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LG Mobile Communications |
E84593
|
entity |
| Predicate | technologyDeveloped |
P14232
|
FINISHED |
| Object | 3G mobile phones |
—
|
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: 3G mobile phones | Statement: [LG Mobile Communications, technologyDeveloped, 3G mobile phones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyDeveloped Context triple: [LG Mobile Communications, technologyDeveloped, 3G mobile phones]
-
A.
developsTechnologyFor
Indicates that one entity creates, improves, or engineers technology specifically intended to be used by or to benefit another entity.
-
B.
technologyPioneered
chosen
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
-
C.
technologyPresent
Indicates that a particular technology exists, is available, or is currently in use in the given context or situation.
-
D.
technologyDiscussed
Indicates that a conversation, text, or interaction includes discussion or mention of a particular technology.
-
E.
technologyIncludes
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8539148190990468c1429be9dd |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.