Triple

T2968137
Position Surface form Disambiguated ID Type / Status
Subject Christiansted National Historic Site E80214 entity
Predicate locatedIn P40 FINISHED
Object Christiansted E174746 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: Christiansted | Statement: [Christiansted National Historic Site, locatedIn, Christiansted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiansted
Context triple: [Christiansted National Historic Site, locatedIn, Christiansted]
  • A. Christiansted chosen
    Christiansted is a historic coastal town on the island of Saint Croix in the U.S. Virgin Islands, known for its preserved Danish colonial architecture and waterfront.
  • B. Helsingør
    Helsingør is a historic coastal city in eastern Denmark, best known internationally as the setting of Shakespeare’s Hamlet (as Elsinore) and for its prominent Kronborg Castle overlooking the Øresund Strait.
  • C. Nyborg
    Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
  • D. Svendborg
    Svendborg is a historic coastal town and seaport in southern Denmark known for its maritime heritage and location on the island of Funen.
  • E. Fredericia
    Fredericia is a Danish coastal town in Jutland known for its historic 17th-century fortress and well-preserved ramparts.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad996fa4388190abd319c69ee583d9 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e3db5481908c0fac0f48fb8fe2 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.