Triple
T26642331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belum Caves |
E668813
|
entity |
| Predicate | touristDevelopment |
P139022
|
FINISHED |
| Object | Andhra Pradesh Tourism Development Corporation |
—
|
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: Andhra Pradesh Tourism Development Corporation | Statement: [Belum Caves, touristDevelopment, Andhra Pradesh Tourism Development Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristDevelopment Context triple: [Belum Caves, touristDevelopment, Andhra Pradesh Tourism Development Corporation]
-
A.
hasTourismDevelopment
chosen
Indicates that tourism-related infrastructure, services, or activities have been developed or promoted in relation to the referenced entity.
-
B.
tourismBoom
Indicates a rapid and significant increase in tourism activity, such as visitor numbers, spending, or development, within a particular place or period.
-
C.
tourismDevelopmentLevel
Indicates the extent or intensity to which tourism-related infrastructure, services, and activities have been developed in a given area.
-
D.
tourismTrend
Indicates how patterns or levels of tourism activity change over time or across locations.
-
E.
tourismMarket
Indicates a relationship where a location, service, or product functions as a destination or offering within the travel and tourism economy, attracting and serving tourists as a market segment.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 2:29 a.m.