Triple
T26037253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Prada |
E647585
|
entity |
| Predicate | hasHeadquartersInFoundedBrand |
P129842
|
FINISHED |
| Object | Milan |
—
|
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: Milan | Statement: [Mario Prada, hasHeadquartersInFoundedBrand, Milan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadquartersInFoundedBrand Context triple: [Mario Prada, hasHeadquartersInFoundedBrand, Milan]
-
A.
hasHeadquartersOfFoundedCompanyIn
chosen
Indicates that the headquarters of a company is located in a place where that company was originally founded.
-
B.
headquartersFoundedCompanyIn
Indicates that a headquarters entity established or founded a particular company.
-
C.
headquartersFoundedAt
Indicates that an organization's headquarters was originally established at a specific location.
-
D.
headquartersLocationOfBrand
Indicates the place where a brand’s main corporate or administrative headquarters is located.
-
E.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 9:08 a.m.