Triple
T27751986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kothari’s Patwa Haveli Museum |
E701234
|
entity |
| Predicate | cityTourHighlightOf |
P112025
|
FINISHED |
| Object | Jaisalmer city tours |
—
|
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: Jaisalmer city tours | Statement: [Kothari’s Patwa Haveli Museum, cityTourHighlightOf, Jaisalmer city tours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTourHighlightOf Context triple: [Kothari’s Patwa Haveli Museum, cityTourHighlightOf, Jaisalmer city tours]
-
A.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
B.
notableSpot
Indicates that a location is recognized as a significant or noteworthy place in some context.
-
C.
typicalSights
Indicates that certain sights or visual features are commonly or characteristically observed in association with a given entity or context.
-
D.
subjectOfTour
Indicates that an entity serves as the main focus, destination, or theme of a tour.
-
E.
tourStaple
chosen
Indicates that something is a standard, frequently included element or highlight of a tour.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63720253c819089ddbecbcbe6401a |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:21 p.m.