Triple

T5926377
Position Surface form Disambiguated ID Type / Status
Subject Marathwada E131820 entity
Predicate hasMajorCity P316 FINISHED
Object Aurangabad E33321 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: Aurangabad | Statement: [Marathwada, hasMajorCity, Aurangabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurangabad
Context triple: [Marathwada, hasMajorCity, Aurangabad]
  • A. Aurangabad chosen
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • B. Ahmednagar
    Ahmednagar is a historic city in the Indian state of Maharashtra, known for its medieval forts, Mughal-era significance, and role in the Deccan region’s political history.
  • C. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • D. Moradabad
    Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
  • E. Farrukhabad
    Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038542e548190b335df9a948c8490 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3a9b6348190909e14e095e2eea0 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.