Triple
T26289913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microchip Technology Inc. |
E661239
|
entity |
| Predicate | hasCustomerSegments |
P120776
|
FINISHED |
| Object | automotive industry |
—
|
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: automotive industry | Statement: [Microchip Technology Inc., hasCustomerSegments, automotive industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerSegments Context triple: [Microchip Technology Inc., hasCustomerSegments, automotive industry]
-
A.
hasUserSegment
Indicates that an entity is associated with a particular user segment or group of users defined by shared characteristics or behaviors.
-
B.
hasMarketSegmentFor
chosen
Indicates that an entity targets or serves a specific market segment for its products or services.
-
C.
hasCustomers
Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
-
D.
marketSegmentType
Indicates the specific category or segment of the market that an entity, product, or service is targeted toward or associated with.
-
E.
marketSegmentCoverage
Indicates the extent to which a product, service, or campaign reaches or serves the intended market segment(s).
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 26, 2026, 10:07 p.m.