Triple

T12648144
Position Surface form Disambiguated ID Type / Status
Subject South Mumbai E302085 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: [South Mumbai, contains, Byculla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byculla
Context triple: [South Mumbai, 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_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.