Triple
T4166315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop Culture Gallery |
E84454
|
entity |
| Predicate | hasExhibitCategory |
P54449
|
FINISHED |
| Object | Pop culture |
—
|
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: Pop culture | Statement: [Pop Culture Gallery, hasExhibitCategory, Pop culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitCategory Context triple: [Pop Culture Gallery, hasExhibitCategory, Pop culture]
-
A.
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.
-
B.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
C.
hasExhibitionScope
Indicates the thematic, geographic, temporal, or conceptual range and boundaries that define what an exhibition covers.
-
D.
hasExhibitionModel
Indicates that one entity serves as the exhibition or display model associated with another entity.
-
E.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02ac8e788190a8f3563a2903bbad |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af01ee94ec8190aa6dde54d4571c04 |
completed | March 9, 2026, 5:22 p.m. |
Created at: March 9, 2026, 3:44 p.m.