Triple

T14036753
Position Surface form Disambiguated ID Type / Status
Subject Athens International Airport S.A. E337731 entity
Predicate headquartersLocation P62 FINISHED
Object Spata E288763 NE FINISHED

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: Spata | Statement: [Athens International Airport S.A., headquartersLocation, Spata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spata
Context triple: [Athens International Airport S.A., headquartersLocation, Spata]
  • A. Spata chosen
    Spata is a town in the East Attica region of Greece, known for hosting Athens International Airport and for its agricultural and wine-producing traditions.
  • B. Pantoliano
    Pantoliano is the surname of American actor Joe Pantoliano, known for his character roles in film and television.
  • C. Torriana
    Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
  • D. Satakopa
    Satakopa is the revered honorific name of Nammalvar, one of the most important Tamil Vaishnavite poet-saints of the Alvar tradition.
  • E. Marulan
    Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d863ac819085bf5cd76cb2e8dd completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:20 p.m.