Triple

T19975565
Position Surface form Disambiguated ID Type / Status
Subject Jaora State E493680 entity
Predicate hasBorderWith P224 FINISHED
Object Sailana State 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: Sailana State | Statement: [Jaora State, hasBorderWith, Sailana State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sailana State
Context triple: [Jaora State, hasBorderWith, Sailana State]
  • A. Sailana State chosen
    Sailana State was a small princely state in what is now Madhya Pradesh, India, that existed under British suzerainty until independence.
  • B. Karthaia ruins
    The Karthaia ruins are the remains of an ancient Greek city on the island of Ceos, notable for its temples, theater, and coastal fortifications.
  • C. Kukanoor
    Kukanoor is a historic village in Karnataka, India, known for its ancient temples and archaeological significance.
  • D. Halebidu
    Halebidu is a historic town in Karnataka, India, renowned for its intricately carved Hoysala-era temples and rich architectural heritage.
  • E. Mandsaur
    Mandsaur is a prominent city in northwestern Madhya Pradesh, India, known for its historical significance and agricultural and industrial economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcca5088190b523584d11799400 completed April 20, 2026, 5:01 p.m.
Created at: April 11, 2026, 3:25 p.m.