Triple
T3427990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IT & Mobile Communications |
E72269
|
entity |
| Predicate | markets |
P1743
|
FINISHED |
| Object | smartphones |
—
|
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: smartphones | Statement: [IT & Mobile Communications, markets, smartphones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markets Context triple: [IT & Mobile Communications, markets, smartphones]
-
A.
market
chosen
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
-
B.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
-
C.
sharesMarket
Indicates that two entities operate within or target the same market or customer segment.
-
D.
business
Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
-
E.
marketStatus
Indicates the current trading or availability condition of an asset, product, or market (e.g., open, closed, active, suspended).
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.