Triple

T11945629
Position Surface form Disambiguated ID Type / Status
Subject Southern Mississippi E284289 entity
Predicate hasCity P316 FINISHED
Object Biloxi E74285 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 | Statement: [Southern Mississippi, hasCity, Biloxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biloxi
Context triple: [Southern Mississippi, hasCity, Biloxi]
  • A. Biloxi chosen
    Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
  • B. Pascagoula
    Pascagoula is a coastal city in southeastern Mississippi known for its major shipbuilding industry and location along the Gulf of Mexico.
  • C. Gulfport–Biloxi metropolitan area
    The Gulfport–Biloxi metropolitan area is a coastal urban region in southern Mississippi centered on the cities of Gulfport and Biloxi, known for its tourism, casinos, and Gulf Coast beaches.
  • D. 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.
  • E. Manchester Harbor
    Manchester Harbor is a scenic coastal inlet and boating harbor in Manchester-by-the-Sea, Massachusetts, known for its sheltered waters and picturesque New England shoreline.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f63ca1748190aad1610f22c53f7d completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:45 p.m.