Triple

T2093852
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Finland E32733 entity
Predicate hasMajorIsland P756 FINISHED
Object Aegna
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.
 E234771 NE FINISHED

How this triple was built (4 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: [Gulf of Finland, hasMajorIsland, Aegna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aegna
Context triple: [Gulf of Finland, hasMajorIsland, Aegna]
  • A. Ephyra
    Ephyra is an ancient city in Greek mythology, often identified with Corinth and known as the legendary home of King Sisyphus.
  • B. Enodia
    Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • C. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • D. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • E. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aegna
Triple: [Gulf of Finland, hasMajorIsland, Aegna]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aegna
Target entity description: 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.
  • A. Ephyra
    Ephyra is an ancient city in Greek mythology, often identified with Corinth and known as the legendary home of King Sisyphus.
  • B. Enodia
    Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • C. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • D. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • E. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • F. None of above. chosen

Provenance (5 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba98c32081908a243bc7088a1510 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae305aacc08190904a358fc4207075 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30e0411c81908cd19bf8d3525056 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae31871d408190a4ae64372660fa79 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.