Triple

T11266797
Position Surface form Disambiguated ID Type / Status
Subject Fourth Avenue South E266706 entity
Predicate runsThrough P416 FINISHED
Object SoDo E52121 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: SoDo | Statement: [Fourth Avenue South, runsThrough, SoDo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SoDo
Context triple: [Fourth Avenue South, runsThrough, SoDo]
  • A. SoDo chosen
    SoDo is a neighborhood and industrial district just south of downtown Seattle, Washington, known for its warehouses, stadiums, and transit connections.
  • B. Mr. DOB
    Mr. DOB is Takashi Murakami’s iconic cartoon-like character and recurring motif that blends Japanese pop culture with fine art in his Superflat style.
  • C. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • D. Dasoda-hae
    Dasoda-hae is the Apache name of Mangas Coloradas, a prominent 19th-century Chiricahua Apache chief and war leader who resisted Mexican and American expansion into Apache lands.
  • E. Sooley
    Sooley is a novel by John Grisham that follows a young South Sudanese basketball player whose extraordinary talent offers a path out of war-torn hardship.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.