Triple

T882630
Position Surface form Disambiguated ID Type / Status
Subject Rhodes E19059 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Lindos E82847 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: Lindos | Statement: [Rhodes, hasArchaeologicalSite, Lindos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindos
Context triple: [Rhodes, hasArchaeologicalSite, Lindos]
  • A. Lindos chosen
    Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
  • B. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • C. Redonda
    Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
  • D. Manche
    Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • E. Natal
    Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01f00f48190b954db4a0cb5baa8 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.