Triple
T3260428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati Museum Center at Union Terminal |
E68395
|
entity |
| Predicate | hasExhibitFocus |
P18101
|
FINISHED |
| Object | science |
—
|
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: science | Statement: [Cincinnati Museum Center at Union Terminal, hasExhibitFocus, science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitFocus Context triple: [Cincinnati Museum Center at Union Terminal, hasExhibitFocus, science]
-
A.
hasExhibitionFocus
chosen
Indicates that an exhibition is primarily centered on, or thematically dedicated to, a particular subject, medium, or focus area.
-
B.
hasExhibitElement
Indicates that something (such as an exhibit or display) includes or is composed of a particular element or component.
-
C.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
D.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
E.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa673a481909b5024b4e0e1c2a7 |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.