Triple

T22004523
Position Surface form Disambiguated ID Type / Status
Subject District of Columbia neighborhoods E543416 entity
Predicate hasPart P35 FINISHED
Object Kalorama NE NERFINISHED

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: Kalorama | Statement: [District of Columbia neighborhoods, hasPart, Kalorama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalorama
Context triple: [District of Columbia neighborhoods, hasPart, Kalorama]
  • A. Kalorama chosen
    Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
  • B. Poruma
    Poruma is a small inhabited island in the Torres Strait Island Region of Queensland, Australia, known for its Indigenous Torres Strait Islander community and maritime culture.
  • C. Karakays
    Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
  • D. Kingaama
    Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
  • E. Kareda
    Kareda is a small village located in Järva County in central Estonia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276d81e4819083a40e51249e7fd7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.