Triple

T14973751
Position Surface form Disambiguated ID Type / Status
Subject Elassona E373390 entity
Predicate historicalName P65 FINISHED
Object Elasson
Elasson is the historical name of Elassona, a town in central Greece known for its proximity to Mount Olympus and its long-standing regional significance.
 E1129796 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: Elasson | Statement: [Elassona, historicalName, Elasson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elasson
Context triple: [Elassona, historicalName, Elasson]
  • A. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • B. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • C. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • D. Ersa
    Ersa is a minor figure in Greek mythology known as the personification of dew, traditionally regarded as a daughter of the Moon goddess Selene.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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: Elasson
Triple: [Elassona, historicalName, Elasson]
Generated description
Elasson is the historical name of Elassona, a town in central Greece known for its proximity to Mount Olympus and its long-standing regional significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elasson
Target entity description: Elasson is the historical name of Elassona, a town in central Greece known for its proximity to Mount Olympus and its long-standing regional significance.
  • A. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • B. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • C. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • D. Ersa
    Ersa is a minor figure in Greek mythology known as the personification of dew, traditionally regarded as a daughter of the Moon goddess Selene.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be8af688190832efb00695f8b20 completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8f39388c81909d6eb44f3433982e completed May 9, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fe8fa960888190ab1fa4bcf426be4b completed May 9, 2026, 1:36 a.m.
Created at: April 10, 2026, 2:50 a.m.