Triple

T14051857
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Island E338110 entity
Predicate contains P35 FINISHED
Object Byculla E922202 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: Byculla | Statement: [Mumbai Island, contains, Byculla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byculla
Context triple: [Mumbai Island, contains, Byculla]
  • A. Byculla chosen
    Byculla is a historic neighborhood in South Mumbai known for its old residential buildings, the Jijamata Udyan (Mumbai Zoo), and its diverse working-class communities.
  • B. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • C. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • D. Ciecere
    Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
  • E. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • 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_69de3c8a518081908ad030ba48b7b946 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.