Triple
T7387635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sponsors of Tomorrow |
E170420
|
entity |
| Predicate | usedByCompanyType |
P46881
|
FINISHED |
| Object | multinational corporation |
—
|
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: multinational corporation | Statement: [Sponsors of Tomorrow, usedByCompanyType, multinational corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByCompanyType Context triple: [Sponsors of Tomorrow, usedByCompanyType, multinational corporation]
-
A.
usedByOrganizationType
chosen
Indicates that something is utilized or employed by organizations of a specified type.
-
B.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
C.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
D.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
E.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c6f0309cc88190b55d278969400294 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.