Triple
T2597722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umaid Bhawan Palace |
E58270
|
entity |
| Predicate | museumExhibits |
P4908
|
FINISHED |
| Object | artifacts of Jodhpur royal family |
—
|
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: artifacts of Jodhpur royal family | Statement: [Umaid Bhawan Palace, museumExhibits, artifacts of Jodhpur royal family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumExhibits Context triple: [Umaid Bhawan Palace, museumExhibits, artifacts of Jodhpur royal family]
-
A.
museumSection
Indicates that one entity is a section, area, or subdivision within a museum associated with the other entity.
-
B.
museumHolds
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
C.
hasExhibits
chosen
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.
-
D.
museumFocus
Indicates that a museum is primarily dedicated to or specializes in a particular subject, theme, or type of collection.
-
E.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.