Triple

T14051876
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Island E338110 entity
Predicate contains P35 FINISHED
Object Nariman Point E704191 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: Nariman Point | Statement: [Mumbai Island, contains, Nariman Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nariman Point
Context triple: [Mumbai Island, contains, Nariman Point]
  • A. Nariman Point chosen
    Nariman Point is a prominent seafront business district in South Mumbai known for its concentration of corporate offices, luxury hotels, and views of the Arabian Sea.
  • B. Gemmayzeh
    Gemmayzeh is a historic, bohemian neighborhood in Beirut known for its traditional architecture, vibrant nightlife, and cultural scene.
  • C. Al Shindagha
    Al Shindagha is a historic waterfront district in Dubai, United Arab Emirates, known as one of the city’s oldest neighborhoods and a key heritage and cultural area.
  • D. Ras El Bar
    Ras El Bar is a coastal resort city in northern Egypt known for its beaches and its location where the Nile River meets the Mediterranean Sea.
  • E. Ain Helwan
    Ain Helwan is a district in southern Cairo, Egypt, known as a residential and educational area connected to the city center by the Cairo Metro.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc346ff2c81909dfc29ef6624181f completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.