Triple

T21274998
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Greece E524365 entity
Predicate containsCity P294 FINISHED
Object Gastouni 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: Gastouni | Statement: [Southwestern Greece, containsCity, Gastouni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gastouni
Context triple: [Southwestern Greece, containsCity, Gastouni]
  • A. Gastouni chosen
    Gastouni is a town in the Elis regional unit of western Greece, known for its agricultural surroundings and proximity to the Ionian coast.
  • B. Goula
    Goula is a traditional Carnatic raga known for its use in devotional compositions, including one of Tyagaraja’s revered Pancharatna Kritis.
  • C. Gossa
    Gossa is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes and small communities within Aukra Municipality.
  • D. Gontiti
    Gontiti is a Japanese acoustic guitar duo known for their mellow, jazz-influenced instrumental music often used in film and television soundtracks.
  • E. Gaddige
    Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7365627a081908caea09097cca354 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.