Triple
T27207327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaoyang Park Plaza |
E683898
|
entity |
| Predicate | architecturalFirmFounder |
P104
|
FINISHED |
| Object | Ma Yansong |
—
|
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: Ma Yansong | Statement: [Chaoyang Park Plaza, architecturalFirmFounder, Ma Yansong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalFirmFounder Context triple: [Chaoyang Park Plaza, architecturalFirmFounder, Ma Yansong]
-
A.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
B.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
-
C.
coArchitectOf
Indicates a relationship where two or more entities jointly serve as architects of the same project, design, or structure.
-
D.
eponymousFounderOf
Indicates that a person is the namesake founder after whom an organization, place, or entity is named.
-
E.
founder
chosen
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 9:38 a.m.