Triple

T11321262
Position Surface form Disambiguated ID Type / Status
Subject Juhu E268098 entity
Predicate hasPart P35 FINISHED
Object Juhu Beach E926915 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 Beach | Statement: [Juhu, hasPart, Juhu Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juhu Beach
Context triple: [Juhu, hasPart, Juhu Beach]
  • A. Juhu Beach chosen
    Juhu Beach is a popular and expansive seaside destination in Mumbai, India, known for its lively atmosphere, street food stalls, and views of the Arabian Sea.
  • B. Kania Beach
    Kania Beach is a small, tranquil seaside spot on the Greek island of Chalki, known for its clear waters and relaxed atmosphere.
  • C. Losari Beach
    Losari Beach is a popular waterfront promenade and recreational beach area in Makassar, Indonesia, known for its sunset views, street food, and role as a central gathering spot for locals and tourists.
  • D. Baina Beach
    Baina Beach is a popular coastal stretch in Goa, India, known for its scenic shoreline, water sports, and proximity to the port town of Vasco da Gama.
  • E. Valtos Beach
    Valtos Beach is a popular sandy and pebbly seaside destination near Parga in northwestern Greece, known for its clear waters and scenic coastal landscape.
  • 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_69e603bbb84c81908a29fcef32d3cf31 completed April 20, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:32 p.m.