Triple

T15284741
Position Surface form Disambiguated ID Type / Status
Subject Mississippi Sound E365364 entity
Predicate hasIsland P970 FINISHED
Object Ship Island E365360 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: Ship Island | Statement: [Mississippi Sound, hasIsland, Ship Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ship Island
Context triple: [Mississippi Sound, hasIsland, Ship Island]
  • A. Ship Island chosen
    Ship Island is a barrier island off the Mississippi Gulf Coast known for its historic Fort Massachusetts, beaches, and role in coastal defense and tourism.
  • B. Red Island
    Red Island is the English meaning of the name Île-Rousse, a coastal town in Corsica known for its reddish rock formations and beaches.
  • C. Fort Island
    Fort Island is a historic river island settlement in Guyana’s Essequibo River, known for its colonial-era Dutch fortifications and role in the region’s early administration.
  • D. Boaz Island
    Boaz Island is a small island in Bermuda known for its strategic location and historical military significance.
  • E. Blount Island
    Blount Island is a strategically important island near Jacksonville, Florida, known primarily for its major U.S. Marine Corps logistics and maritime prepositioning operations.
  • 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_69e00e53c9588190a6cb61ac8805c706 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef798a588190981c77e6f4c6be78 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.