Triple

T17477587
Position Surface form Disambiguated ID Type / Status
Subject Bình Định province E425577 entity
Predicate hasNotableSite P2462 FINISHED
Object Eo Gió NE NERFINISHED

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: Eo Gió | Statement: [Bình Định province, hasNotableSite, Eo Gió]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eo Gió
Context triple: [Bình Định province, hasNotableSite, Eo Gió]
  • A. Eo Gió chosen
    Eo Gió is a scenic coastal area in Bình Định Province, Vietnam, known for its dramatic cliffs, clear blue waters, and panoramic sea views that attract many tourists and photographers.
  • B. Anemoi
    The Anemoi are the Greek wind gods, each personifying a cardinal direction and its associated seasonal winds.
  • C. Zefyria
    Zefyria is a small inland village on the Greek island of Milos, known for its traditional Cycladic character and quiet, rural setting.
  • D. Tuul gol
    Tuul gol is a major river in Mongolia that flows through the capital city Ulaanbaatar and plays an important role in the region’s ecology and water supply.
  • E. Notus
    Notus is the Greek god of the warm, stormy south wind, associated with late summer and early autumn weather.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.