Triple

T2486611
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Suburban district E55940 entity
Predicate contains P35 FINISHED
Object Juhu E268098 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: Juhu | Statement: [Mumbai Suburban district, contains, Juhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juhu
Context triple: [Mumbai Suburban district, contains, Juhu]
  • A. Juhu chosen
    Juhu is a prominent coastal suburb of Mumbai, India, best known for its long sandy beach, upscale residential areas, and vibrant entertainment and tourism scene.
  • B. Juh
    Juh was a prominent Chiricahua Apache chief and war leader who played a key role in resisting U.S. and Mexican military forces during the Apache Wars.
  • C. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • D. Juché
    Juché is an alternative spelling of Juche, the North Korean state ideology centered on self-reliance and the absolute leadership of the Kim dynasty.
  • E. Häyhä
    Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
  • 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.