Triple
T9594395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAE Systems Naval Ships |
E231493
|
entity |
| Predicate | focusCustomerType |
P809
|
FINISHED |
| Object | naval forces |
—
|
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: naval forces | Statement: [BAE Systems Naval Ships, focusCustomerType, naval forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusCustomerType Context triple: [BAE Systems Naval Ships, focusCustomerType, naval forces]
-
A.
customerType
chosen
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
B.
customerFocus
Indicates that one entity prioritizes understanding and meeting the needs, preferences, or satisfaction of another entity (typically a customer or client).
-
C.
customerGroup
Indicates a relationship in which an entity belongs to, is classified under, or is associated with a particular group of customers.
-
D.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
E.
majorCustomer
Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a14fd308190beb8fda5a9e912c7 |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:07 p.m.