Triple

T11095716
Position Surface form Disambiguated ID Type / Status
Subject Dorerin Naoero E262371 entity
Predicate hasEndonym P1435 FINISHED
Object Dorerin Naoero E262371 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: Dorerin Naoero | Statement: [Dorerin Naoero, hasEndonym, Dorerin Naoero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorerin Naoero
Context triple: [Dorerin Naoero, hasEndonym, Dorerin Naoero]
  • A. Dorerin Naoero chosen
    Dorerin Naoero is the endonym for the Nauruan language spoken on the Pacific island nation of Nauru.
  • B. Orlac
    Orlac is a surname most notably associated with the fictional pianist protagonist in the classic horror story and film adaptations "The Hands of Orlac."
  • C. Dulliken
    Dulliken is a municipality in the canton of Solothurn in Switzerland, located in the Olten district.
  • D. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • E. Yoron
    Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0897188190b6c293b44990b3d4 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7e0c7e4819098e690ffebbd8e61 completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.