Triple
T14491740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevadia |
E359376
|
entity |
| Predicate | tourismDevelopmentFocus |
P27612
|
FINISHED |
| Object | Statue of Unity tourism circuit |
—
|
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: Statue of Unity tourism circuit | Statement: [Kevadia, tourismDevelopmentFocus, Statue of Unity tourism circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismDevelopmentFocus Context triple: [Kevadia, tourismDevelopmentFocus, Statue of Unity tourism circuit]
-
A.
tourismTheme
chosen
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
-
B.
tourismImportance
Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
-
C.
tourismDevelopmentLevel
Indicates the extent or intensity to which tourism-related infrastructure, services, and activities have been developed in a given area.
-
D.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
E.
primaryTourismHub
Indicates that a location serves as the main center or focal point for tourism activities within a given area or 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930d820481908b9813014dd02540 |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:20 a.m.