Triple
T11119432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Directors of Nike, Inc. |
E262977
|
entity |
| Predicate | legalFormOfGovernedEntity |
P64
|
FINISHED |
| Object | publicly traded 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: publicly traded corporation | Statement: [Board of Directors of Nike, Inc., legalFormOfGovernedEntity, publicly traded corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalFormOfGovernedEntity Context triple: [Board of Directors of Nike, Inc., legalFormOfGovernedEntity, publicly traded corporation]
-
A.
typicalLegalForm
Indicates the standard or commonly used legal organizational form associated with an entity.
-
B.
legalForm
chosen
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
C.
governedEntity
Indicates that one entity exercises authority, control, or governance over another entity.
-
D.
legalFormedAs
Indicates that an entity was established or constituted under a specific legal structure or organizational form.
-
E.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af7b72c8190a19dbcbb3a69fb5b |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.