Triple

T6198666
Position Surface form Disambiguated ID Type / Status
Subject NOAA Ship Pisces E138574 entity
Predicate homeport P3150 FINISHED
Object Pascagoula, Mississippi E369557 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: Pascagoula, Mississippi | Statement: [NOAA Ship Pisces, homeport, Pascagoula, Mississippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascagoula, Mississippi
Context triple: [NOAA Ship Pisces, homeport, Pascagoula, Mississippi]
  • A. Pascagoula chosen
    Pascagoula is a coastal city in southeastern Mississippi known for its major shipbuilding industry and location 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. Bay St. Louis, Mississippi
    Bay St. Louis, Mississippi is a small Gulf Coast city known for its historic downtown, waterfront setting, and proximity to NASA’s Stennis Space Center.
  • 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. Biloxi
    Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06251b47881909bd8d2ea37541959 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243da922c819080d8d37adbb5635e completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:20 p.m.