Triple
T35839806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagareshwar Beach |
E1036044
|
entity |
| Predicate | stateTourismRegion |
P3030
|
FINISHED |
| Object | Maharashtra coastal tourism |
—
|
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: Maharashtra coastal tourism | Statement: [Sagareshwar Beach, stateTourismRegion, Maharashtra coastal tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateTourismRegion Context triple: [Sagareshwar Beach, stateTourismRegion, Maharashtra coastal tourism]
-
A.
tourismRegion
chosen
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
B.
regionOfTour
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
C.
regionTourismContext
Indicates the contextual relationship between a region and its tourism-related characteristics, activities, or conditions.
-
D.
connectsToTouristRegion
Indicates that one entity has a direct linkage or association to a tourist region, such as through location, access, or service provision.
-
E.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:06 p.m.