Triple
T31003620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | easy family of companies |
E790005
|
entity |
| Predicate | hasTargetCustomerSegment |
P55993
|
FINISHED |
| Object | price-sensitive consumers |
—
|
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: price-sensitive consumers | Statement: [easy family of companies, hasTargetCustomerSegment, price-sensitive consumers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetCustomerSegment Context triple: [easy family of companies, hasTargetCustomerSegment, price-sensitive consumers]
-
A.
hasMarketSegmentFor
Indicates that an entity targets or serves a specific market segment for its products or services.
-
B.
hasMarketingTarget
chosen
Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
-
C.
hasUserSegment
Indicates that an entity is associated with a particular user segment or group of users defined by shared characteristics or behaviors.
-
D.
hasTargetMarketPositioning
Indicates the specific market segment and competitive position that an offering is intended to occupy relative to alternatives.
-
E.
servesBrandSegment
Indicates that one entity provides products, services, or offerings specifically targeted to a particular brand segment.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 8:57 p.m.