Triple
T25807419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inhotim Institute |
E650005
|
entity |
| Predicate | openAirExhibitions |
P159293
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Inhotim Institute, openAirExhibitions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openAirExhibitions Context triple: [Inhotim Institute, openAirExhibitions, yes]
-
A.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
-
B.
organizedExhibitionsIn
Indicates that an entity arranged, coordinated, or managed exhibitions that took place in a specified location or venue.
-
C.
exhibitionSource
Indicates the origin or provider from which an exhibition or displayed work is sourced or obtained.
-
D.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
E.
exhibitedDuring
Indicates that something was presented, displayed, or shown over the course of a specified time period or event.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c18a14819081b5914dd3b0f9cf |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 7:05 a.m.