Triple

T4194804
Position Surface form Disambiguated ID Type / Status
Subject Sheridan Circle E89120 entity
Predicate partOf P40 FINISHED
Object Embassy Row E11932 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: Embassy Row | Statement: [Sheridan Circle, partOf, Embassy Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embassy Row
Context triple: [Sheridan Circle, partOf, Embassy Row]
  • A. Embassy Row chosen
    Embassy Row is a prestigious stretch in Washington, D.C., known for its concentration of foreign embassies, diplomatic residences, and historic mansions.
  • B. Embassy
    "Embassy" is a 1972 political thriller film directed by Ralph Nelson, centered on espionage and intrigue surrounding an embassy under siege.
  • C. Museum Row
    Museum Row is a prominent stretch of cultural institutions and museums in Los Angeles, known for its dense concentration of major art, history, and science museums.
  • D. Whitehall
    Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
  • E. Whitehall
    Whitehall is a grand Gilded Age mansion in Palm Beach, Florida, built by Henry Flagler and now preserved as the Flagler Museum.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034406348190a56c21b5c08a6828 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0d7fa88190a2c830e298542068 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.