Triple
T29337439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanuman Chatti |
E743946
|
entity |
| Predicate | locatedInTourismCircuit |
P201679
|
FINISHED |
| Object | Char Dham region of Uttarakhand |
—
|
NE NERFINISHED |
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: Char Dham region of Uttarakhand | Statement: [Hanuman Chatti, locatedInTourismCircuit, Char Dham region of Uttarakhand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTourismCircuit Context triple: [Hanuman Chatti, locatedInTourismCircuit, Char Dham region of Uttarakhand]
-
A.
isPopularTouristDestinationIn
Indicates that a place is widely visited and favored by tourists within a specified geographic area or region.
-
B.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
-
C.
locatedInWineTourismCorridor
Indicates that something is situated within a designated wine tourism corridor or route.
-
D.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
-
E.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
| PDg | Predicate description generation | batch_6a001440a26c81908ba50779bb6e1679 |
completed | May 10, 2026, 5:14 a.m. |
Created at: April 28, 2026, 1:31 p.m.