Triple
T28328492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenland Australia |
E717474
|
entity |
| Predicate | hasParentCompanyNationality |
P4440
|
FINISHED |
| Object | China |
—
|
NE NERFINISHED |
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: China | Statement: [Greenland Australia, hasParentCompanyNationality, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentCompanyNationality Context triple: [Greenland Australia, hasParentCompanyNationality, China]
-
A.
hasParentCompany
Indicates that one company is owned or controlled by another company that serves as its parent organization.
-
B.
hasParentInstitutionHeadquartersIn
Indicates that the headquarters of an entity’s parent institution is located in a specified place.
-
C.
hasParentCompanyType
Indicates that an entity is associated with a parent company of a specified organizational or business type.
-
D.
hasOwnerNationalityStereotype
Indicates that an entity is associated with a stereotype about the nationality of its owner.
-
E.
countryOfParentOrganization
chosen
Indicates that an organization is located in or associated with the country where its parent organization is based.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 28, 2026, 12:30 a.m.