Triple

T5051758
Position Surface form Disambiguated ID Type / Status
Subject Viimsi Parish E113800 entity
Predicate hasIsland P970 FINISHED
Object Aegna E234771 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: Aegna | Statement: [Viimsi Parish, hasIsland, Aegna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aegna
Context triple: [Viimsi Parish, hasIsland, Aegna]
  • A. Aegna chosen
    Aegna is a small Estonian island in the Baltic Sea, located near Tallinn in the Gulf of Finland and known for its forests, beaches, and nature reserves.
  • B. Aegiale
    Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
  • C. Agelaia
    Agelaia is a genus of social wasps in the subfamily Polistinae, known for forming large, often aggressive colonies in the Neotropical region.
  • D. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • E. Aegiali
    Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea483b6cc8190b3b48598a291d708 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.