Triple

T16030377
Position Surface form Disambiguated ID Type / Status
Subject Zakynthos (city) E388830 entity
Predicate near P350 FINISHED
Object Argassi
Argassi is a popular seaside resort village on the Greek island of Zakynthos, known for its beaches, nightlife, and proximity to Zakynthos Town.
E1188874 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: Argassi | Statement: [Zakynthos (city), near, Argassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argassi
Context triple: [Zakynthos (city), near, Argassi]
  • A. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • B. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Angarano
    Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
  • E. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • 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: Argassi
Triple: [Zakynthos (city), near, Argassi]
Generated description
Argassi is a popular seaside resort village on the Greek island of Zakynthos, known for its beaches, nightlife, and proximity to Zakynthos Town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Argassi
Target entity description: Argassi is a popular seaside resort village on the Greek island of Zakynthos, known for its beaches, nightlife, and proximity to Zakynthos Town.
  • A. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • B. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Angarano
    Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
  • E. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1832b0f308190a23edfaf55f3ca25 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf35ae808190aeb154a273c32a70 completed May 10, 2026, 12:20 a.m.
NEDg Description generation batch_69ffd0384804819080f63b86d5114950 completed May 10, 2026, 12:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffd09e128c819081e92a479a4a24f9 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:56 a.m.