Triple
T2128699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodyear Tire & Rubber Company |
E46483
|
entity |
| Predicate | hasMajorCustomerSegment |
P927
|
FINISHED |
| Object | automobile manufacturers |
—
|
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: automobile manufacturers | Statement: [Goodyear Tire & Rubber Company, hasMajorCustomerSegment, automobile manufacturers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCustomerSegment Context triple: [Goodyear Tire & Rubber Company, hasMajorCustomerSegment, automobile manufacturers]
-
A.
majorCustomer
chosen
Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
-
B.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
-
C.
hasCustomers
Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
-
D.
hasMajorBusinessLine
Indicates that an entity conducts a primary or significant line of business in a specified area, sector, or activity.
-
E.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7659f48190871cb27faf47e18a |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.