Triple

T8216618
Position Surface form Disambiguated ID Type / Status
Subject Kupwad E191947 entity
Predicate near P350 FINISHED
Object Miraj E191946 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: Miraj | Statement: [Kupwad, near, Miraj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miraj
Context triple: [Kupwad, near, Miraj]
  • A. Miraj chosen
    Miraj is a prominent city in Maharashtra, India, known as a regional commercial and medical hub and for its historical and cultural significance.
  • B. Mālaqa
    Mālaqa is the historical Arabic name for the Spanish coastal city of Málaga, reflecting its period under Muslim rule in Al-Andalus.
  • C. Buraq
    Buraq is a mythical, winged steed in Islamic tradition that transported the Prophet Muhammad during his miraculous Night Journey.
  • D. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • E. Hajar Churashir Maa
    Hajar Churashir Maa is a landmark Bengali novel by Mahasweta Devi that portrays a mother's political awakening amid the Naxalite movement and state repression in 1970s 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776f41108190bed1c6a8ddbea374 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34c010b48190b564fd365a5304d1 completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:44 p.m.