Triple

T9602992
Position Surface form Disambiguated ID Type / Status
Subject Fatehnagar E231894 entity
Predicate nearbyCity P350 FINISHED
Object Jalna E556970 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: Jalna | Statement: [Fatehnagar, nearbyCity, Jalna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalna
Context triple: [Fatehnagar, nearbyCity, Jalna]
  • A. Jalna chosen
    Jalna is a prominent city in Maharashtra, India, known as an important commercial and administrative center of the Marathwada region.
  • B. Mogren Beach
    Mogren Beach is a popular sandy and pebbly beach near the old town of Budva, Montenegro, known for its clear Adriatic waters and scenic cliff-backed coves.
  • C. Bačvice Beach
    Bačvice Beach is a famous sandy urban beach in Split, Croatia, known for its shallow waters and vibrant social and nightlife scene.
  • D. Mandvi Beach
    Mandvi Beach is a coastal tourist spot in Ratnagiri, Maharashtra, known for its scenic shoreline and relaxed seaside atmosphere.
  • E. Devka Beach
    Devka Beach is a popular seaside destination in the Daman district of India, known for its long sandy shoreline, amusement facilities, and relaxed coastal atmosphere.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5af8f0819089408ed630afa812 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1792ba9388190b98d4fb081510c30 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.