Triple

T11322717
Position Surface form Disambiguated ID Type / Status
Subject Haji Ali E268131 entity
Predicate hasNearbyArea P4647 FINISHED
Object Worli Sea Face E268132 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: Worli Sea Face | Statement: [Haji Ali, hasNearbyArea, Worli Sea Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worli Sea Face
Context triple: [Haji Ali, hasNearbyArea, Worli Sea Face]
  • A. Worli Sea Face chosen
    Worli Sea Face is a prominent seaside promenade and residential area in South Mumbai known for its Arabian Sea views and monsoon waves.
  • B. Worli Island
    Worli Island was a former separate island that became part of present-day Mumbai, India, through land reclamation and urban expansion.
  • C. Pierowall
    Pierowall is the main village and population center on the Orkney island of Westray in Scotland.
  • D. Thongsala Pier
    Thongsala Pier is the main ferry terminal and transportation hub on Ko Pha Ngan, Thailand, serving as the primary gateway for travelers arriving by sea.
  • E. Seawall
    The Seawall is a popular scenic waterfront pathway encircling Vancouver’s Stanley Park, used for walking, running, and cycling along the coastline.
  • 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_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.