Triple

T11321279
Position Surface form Disambiguated ID Type / Status
Subject Juhu Aerodrome E268098 entity
Predicate locatedIn P40 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: [Juhu Aerodrome, locatedIn, Juhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juhu
Context triple: [Juhu Aerodrome, locatedIn, 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. Juhuri
    Juhuri are a Jewish ethnic group from the Eastern Caucasus, traditionally speaking Judeo-Tat and maintaining distinct religious and cultural practices.
  • D. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • E. 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.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5563dc9c881908d17a061e6071d2c completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:32 p.m.