Triple

T6703878
Position Surface form Disambiguated ID Type / Status
Subject Zamalek district E152948 entity
Predicate near P350 FINISHED
Object Dokki E578152 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: Dokki | Statement: [Zamalek district, near, Dokki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dokki
Context triple: [Zamalek district, near, Dokki]
  • A. Dokki chosen
    Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
  • B. Dokka
    Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
  • C. Kachidoki
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • D. Tokkō
    Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
  • E. Dok
    Dok is an ancient location associated with the Hasmonean leader Simon Thassi, known primarily as the site of his assassination.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e7c4888190a44d13e889ea1c3b completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70085ed8c81909cb407ab183ebbe5 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.