Triple

T12648148
Position Surface form Disambiguated ID Type / Status
Subject South Mumbai E302085 entity
Predicate contains P35 FINISHED
Object Worli E922654 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: [South Mumbai, contains, Worli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worli
Context triple: [South Mumbai, 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 chosen
    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
    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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687bbb408190b80da2d0310f82c5 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.