Triple

T16702039
Position Surface form Disambiguated ID Type / Status
Subject Karla Caves E405876 entity
Predicate locatedNear P294 FINISHED
Object Khandala E92515 NE 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: Khandala | Statement: [Karla Caves, locatedNear, Khandala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khandala
Context triple: [Karla Caves, locatedNear, Khandala]
  • A. Khandala chosen
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • B. Chiplun
    Chiplun is a town in Maharashtra, India, situated along the Vashishti River and known as a commercial and transport hub in the Konkan region.
  • C. Ghansoli
    Ghansoli is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its growing IT parks, educational institutions, and connectivity to Mumbai via rail and road.
  • D. Kundalpur
    Kundalpur is a historically significant Jain pilgrimage site in India, revered as the birthplace of Lord Mahavira.
  • E. Dhrol
    Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012327b68881908ad5f4e2fe03f56a completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:19 a.m.