Triple

T9031490
Position Surface form Disambiguated ID Type / Status
Subject Banda E216382 entity
Predicate locatedNear P294 FINISHED
Object Mahoba E216380 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: Mahoba | Statement: [Banda, locatedNear, Mahoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahoba
Context triple: [Banda, locatedNear, Mahoba]
  • A. Mahoba chosen
    Mahoba is a historic town in Uttar Pradesh, India, renowned for its role as a prominent center of power and culture in the Bundelkhand region, especially under the Chandela rulers.
  • B. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • C. Pandua
    Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
  • D. Baghmara
    Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
  • E. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6a9f2c7481909b4a272183f20585 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb83e8988190bf29baa1aff11ac0 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:08 p.m.