Triple
T22627903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | curatorship of Venice Architecture Biennale 2016 "Reporting from the Front" |
E558472
|
entity |
| Predicate | curatorNationality |
P148978
|
FINISHED |
| Object | Chilean |
—
|
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: Chilean | Statement: [curatorship of Venice Architecture Biennale 2016 "Reporting from the Front", curatorNationality, Chilean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curatorNationality Context triple: [curatorship of Venice Architecture Biennale 2016 "Reporting from the Front", curatorNationality, Chilean]
-
A.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
B.
architectNationality
Indicates the country or national affiliation associated with an architect.
-
C.
creditedNationalityOfArtist
Indicates the nationality that is officially attributed to an artist, as used in credits or cataloging, in relation to that artist.
-
D.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
E.
collectedBy
Indicates that one entity has gathered, acquired, or assembled another entity, typically as part of a collection or data-gathering process.
- F. None of above. chosen
Provenance (4 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3ed1d48190a093013d829901b9 |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:02 p.m.