Triple

T20137657
Position Surface form Disambiguated ID Type / Status
Subject Harju maakond E491063 entity
Predicate contains P35 FINISHED
Object Aegna 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: Aegna | Statement: [Harju maakond, contains, Aegna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aegna
Context triple: [Harju maakond, contains, 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. Agenna
    Agenna is a town located in the Gurage Zone of Ethiopia’s Southern Nations, Nationalities, and Peoples' Region.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676879f48190a59da04393d2a8cc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.