Triple

T2486598
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Suburban district E55940 entity
Predicate contains P35 FINISHED
Object Malad E268095 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: Malad | Statement: [Mumbai Suburban district, contains, Malad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malad
Context triple: [Mumbai Suburban district, contains, Malad]
  • A. Malad chosen
    Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
  • B. Małdyty
    Małdyty is a village and administrative center in northern Poland, situated in the Warmian-Masurian Voivodeship and known for its proximity to the region’s lakes and forests.
  • C. Maluma
    Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
  • D. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • E. Maléter
    Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd17705488190b90b1aa66dd25972 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ba433481908eccda5c6c6246be completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.