Triple
T9000089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony TPS-L2 |
E215018
|
entity |
| Predicate | launchImpact |
P41849
|
FINISHED |
| Object | created the portable music player market segment |
—
|
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: created the portable music player market segment | Statement: [Sony TPS-L2, launchImpact, created the portable music player market segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchImpact Context triple: [Sony TPS-L2, launchImpact, created the portable music player market segment]
-
A.
impactOrigin
Indicates that one entity is the source or cause from which the impact or effect on another entity originates.
-
B.
impactOnMarket
chosen
Indicates the effect or influence that one factor, event, or action has on market conditions, behavior, or outcomes.
-
C.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
-
D.
launchAuthority
Indicates the entity that has the official power or responsibility to initiate or authorize the start of an operation, project, or event.
-
E.
recognizesImpactOn
Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e3b1f48190bbeafbce363fff53 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.