Triple

T14051864
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Island E338110 entity
Predicate contains P35 FINISHED
Object Parel E647086 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: Parel | Statement: [Mumbai Island, contains, Parel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parel
Context triple: [Mumbai Island, contains, Parel]
  • A. Parel chosen
    Parel is a historic neighborhood in central Mumbai, India, that evolved from one of the original seven islands of Bombay into a major commercial and residential hub.
  • B. Carrel
    Carrel is a French surname most notably borne by Alexis Carrel, a Nobel Prize–winning surgeon and biologist.
  • C. Malba
    Malba is an affluent residential neighborhood in the northeastern part of Queens, New York City, known for its large waterfront homes and quiet, suburban character.
  • D. Aparri
    Aparri is a coastal municipality in the province of Cagayan in the Philippines, known historically as a major port and fishing town at the mouth of the Cagayan River.
  • E. Parai
    Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
  • 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.