Triple
T19430758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold, Brown & Company |
E486103
|
entity |
| Predicate | nationalityOfFirm |
P6746
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Arnold, Brown & Company, nationalityOfFirm, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfFirm Context triple: [Arnold, Brown & Company, nationalityOfFirm, British]
-
A.
hasArchitecturalFirmNationality
Indicates that an architectural firm is associated with or originates from a specific country or nationality.
-
B.
countryOfUnderlyingCompany
chosen
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
-
C.
brandNationality
Indicates that a brand is associated with or originates from a particular country or nationality.
-
D.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
E.
organizationHeadquarteredInCountry
Indicates that an organization’s main headquarters or principal place of business is located within a specified country.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321c774881908ba5bde20abd5adc |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.