Triple
T452504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia Devices and Services business |
E7157
|
entity |
| Predicate | peakMarketPosition |
P1850
|
FINISHED |
| Object | world's largest mobile phone vendor |
—
|
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: world's largest mobile phone vendor | Statement: [Nokia Devices and Services business, peakMarketPosition, world's largest mobile phone vendor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakMarketPosition Context triple: [Nokia Devices and Services business, peakMarketPosition, world's largest mobile phone vendor]
-
A.
marketPosition
chosen
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
B.
peakMarketShare
Indicates the highest proportion of total market sales or customers that an entity has achieved over a specified period.
-
C.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
D.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
E.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef854f7481909dc2207faf0327ec |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede3187c8190a7ced078f0ec3476 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.