Triple

T14084099
Position Surface form Disambiguated ID Type / Status
Subject Athens Suburban Railway E338943 entity
Predicate connects P390 FINISHED
Object Ano Liosia E1007833 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: Ano Liosia | Statement: [Athens Suburban Railway, connects, Ano Liosia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ano Liosia
Context triple: [Athens Suburban Railway, connects, Ano Liosia]
  • A. Ano Liosia chosen
    Ano Liosia is a suburban town in the northwestern part of the Athens metropolitan area in Greece.
  • B. Losuia
    Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
  • C. Liboi
    Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
  • D. Lealui
    Lealui is the dry-season capital and royal residence of the Litunga, the king of Barotseland, located on the Zambezi floodplain in western Zambia.
  • E. Antelias
    Antelias is a coastal town in Lebanon that serves as an important religious center, notably hosting the headquarters of the Armenian Catholicosate of the Great House of Cilicia.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb676620481908ed2fa5687a21866 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.