Triple

T14051865
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Island E338110 entity
Predicate contains P35 FINISHED
Object Worli E168356 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 | Statement: [Mumbai Island, contains, Worli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worli
Context triple: [Mumbai Island, contains, Worli]
  • A. Worli Fort
    Worli Fort is a 17th-century seaside fortification in Mumbai, India, built by the British to oversee maritime activities and defend the city’s coastline.
  • B. Worli Naka
    Worli Naka is a busy junction and locality in Mumbai’s Worli area, serving as a key connector between the Worli Sea Face and other parts of the city.
  • C. Worli Island chosen
    Worli Island was a former separate island that became part of present-day Mumbai, India, through land reclamation and urban expansion.
  • D. Túnel Cristo Redentor
    Túnel Cristo Redentor is a major road tunnel through the Andes that forms a key segment of the highway connection between Chile and Argentina.
  • E. Manial Bridge
    Manial Bridge is a road bridge in Cairo, Egypt, that connects Roda Island to the mainland across the Nile River.
  • 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.