Triple

T6827026
Position Surface form Disambiguated ID Type / Status
Subject Moon Kahani E157040 entity
Predicate contains P35 FINISHED
Object Gup City E619895 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: Gup City | Statement: [Moon Kahani, contains, Gup City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gup City
Context triple: [Moon Kahani, contains, Gup City]
  • A. Gup City chosen
    Gup City is a fantastical, talkative metropolis of light and open debate in Salman Rushdie’s novel "Haroun and the Sea of Stories."
  • B. Sheger City
    Sheger City is a newly established administrative city in Ethiopia that encompasses parts of Addis Ababa and its surroundings, serving as a growing political and cultural hub.
  • C. Bogo City
    Bogo City is a component city in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding rural municipalities.
  • D. Xigazê City
    Xigazê City is a major prefecture-level city in the Tibet Autonomous Region of China, known as an important political, economic, and cultural center and a gateway to Mount Everest.
  • E. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58583a4819099edbf753c7c7087 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751130fd48190af94e632dcf0b798 completed March 28, 2026, 3:54 a.m.
Created at: March 27, 2026, 2:18 p.m.