Triple
T27207326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaoyang Park Plaza |
E683898
|
entity |
| Predicate | architecturalFirmCountry |
P102557
|
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: [Chaoyang Park Plaza, architecturalFirmCountry, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalFirmCountry Context triple: [Chaoyang Park Plaza, architecturalFirmCountry, China]
-
A.
hasArchitecturalFirmNationality
chosen
Indicates that an architectural firm is associated with or originates from a specific country or nationality.
-
B.
architectureFirm
Indicates that one entity is an architecture firm responsible for providing architectural services or design work to another entity.
-
C.
hasCountryArchitect
Indicates that an entity has an architect associated with a specific country.
-
D.
notableContractorCountry
Indicates that a country is notably associated as a contractor for the given entity, such as through significant contracts or procurement relationships.
-
E.
architectNationality
Indicates the country or national affiliation associated with an architect.
- 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_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 9:38 a.m.