Triple
T2382713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anacostia Community Museum |
E46345
|
entity |
| Predicate | hasExhibitions |
P33070
|
FINISHED |
| Object | temporary exhibitions |
—
|
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: temporary exhibitions | Statement: [Anacostia Community Museum, hasExhibitions, temporary exhibitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitions Context triple: [Anacostia Community Museum, hasExhibitions, temporary exhibitions]
-
A.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
B.
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.
-
C.
hasExhibitedAt
Indicates that an entity has displayed or presented its work at a particular event, venue, or exhibition.
-
D.
hasTemporaryExhibitions
chosen
Indicates that an entity hosts or features exhibitions that are limited in duration rather than permanent.
-
E.
hasExhibitionFocus
Indicates that an exhibition is primarily centered on, or thematically dedicated to, a particular subject, medium, or focus area.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bafa248190a68e8f1e081f4817 |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.