Triple

T11964472
Position Surface form Disambiguated ID Type / Status
Subject Sehore district E284756 entity
Predicate borderedBy P224 FINISHED
Object Raisen district E460689 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: Raisen district | Statement: [Sehore district, borderedBy, Raisen district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raisen district
Context triple: [Sehore district, borderedBy, Raisen district]
  • A. Raisen district chosen
    Raisen district is an administrative region in the Indian state of Madhya Pradesh that is notable for encompassing the prehistoric Rock Shelters of Bhimbetka, a UNESCO World Heritage Site.
  • B. Sennan District
    Sennan District is an administrative district in Osaka Prefecture, Japan, comprising several small municipalities in the southern part of the prefecture.
  • C. Washim district
    Washim district is an administrative district in the Vidarbha region of Maharashtra, India, known for its predominantly agrarian economy and historical temples.
  • D. Sena District
    Sena District is an administrative district (amphoe) in central Thailand known for its location within Ayutthaya Province and its traditional canals and agricultural communities.
  • E. Kudanshita district
    Kudanshita district is a central Tokyo neighborhood known for its proximity to the Imperial Palace area, educational institutions, and cultural sites such as Yasukuni Shrine and the Nippon Budokan.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4594054f08190b28b35f62dfb9198 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.