Triple

T8278931
Position Surface form Disambiguated ID Type / Status
Subject Dupont Circle E193615 entity
Predicate borderedBy P224 FINISHED
Object Kalorama E8390 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: Kalorama | Statement: [Dupont Circle, borderedBy, Kalorama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalorama
Context triple: [Dupont Circle, borderedBy, 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. Karakays
    Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
  • C. Kingaama
    Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
  • D. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • E. Komaba
    Komaba is a district in Meguro, Tokyo, best known as the location of the University of Tokyo’s Komaba Campus and its surrounding academic and residential facilities.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ece5708190a1569bcfad5b3644 completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6863c22c8190b888a23bb9005712 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.