Triple

T15290477
Position Surface form Disambiguated ID Type / Status
Subject MGM Park E365512 entity
Predicate location P40 FINISHED
Object Biloxi, Mississippi E1160403 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: Biloxi, Mississippi | Statement: [MGM Park, location, Biloxi, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biloxi, Mississippi
Context triple: [MGM Park, location, Biloxi, Mississippi]
  • A. Biloxi
    Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
  • B. Gulfport, Mississippi
    Gulfport, Mississippi is a coastal city on the Gulf of Mexico known for its port, beaches, and role as a major urban center in southern Mississippi.
  • C. Biloxi, Mississippi, United States chosen
    Biloxi, Mississippi, United States, is a Gulf Coast city known for its historic seafood industry, beaches, and casino resorts.
  • D. Pearl, Mississippi
    Pearl, Mississippi is a suburban city in the Jackson metropolitan area known for its residential communities, retail centers, and proximity to major transportation routes.
  • E. Hattiesburg, Mississippi
    Hattiesburg, Mississippi is a mid-sized city in southern Mississippi known as a regional hub for education, healthcare, and transportation, home to the University of Southern Mississippi and a historic downtown.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbb7b1e48190b55c40e0cb837446 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 3:15 a.m.