Triple
T23796447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kunstlinie Theater and Cultural Center |
E588553
|
entity |
| Predicate | architectFirmCountry |
P102557
|
FINISHED |
| Object | Japan |
—
|
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: Japan | Statement: [De Kunstlinie Theater and Cultural Center, architectFirmCountry, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectFirmCountry Context triple: [De Kunstlinie Theater and Cultural Center, architectFirmCountry, Japan]
-
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.
architectNationality
Indicates the country or national affiliation associated with an architect.
-
D.
hasCountryArchitect
Indicates that an entity has an architect associated with a specific country.
-
E.
architecturalFirmHeadquarters
Indicates the location where an architectural firm’s main offices or central headquarters are 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dc94d481908800385a58d2c452 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:49 p.m.