Triple

T19774591
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia (Lydia) E474970 entity
Predicate locatedInPresentDay P40 FINISHED
Object Alaşehir 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: Alaşehir | Statement: [Philadelphia (Lydia), locatedInPresentDay, Alaşehir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaşehir
Context triple: [Philadelphia (Lydia), locatedInPresentDay, Alaşehir]
  • A. Alaşehir chosen
    Alaşehir is a town and district in Manisa Province in western Turkey, known for its agricultural production and historical roots dating back to ancient times.
  • B. Emirdağ
    Emirdağ is a town and district in western Turkey known for its location in Afyonkarahisar Province and its significant emigrant community, particularly in Western Europe.
  • C. Ortaca
    Ortaca is a town and district in southwestern Turkey known for its proximity to popular Aegean and Mediterranean coastal resorts and natural attractions.
  • D. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • E. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535effcc819080a71de148759674 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.