Triple

T17581784
Position Surface form Disambiguated ID Type / Status
Subject Aksu E428220 entity
Predicate nearbyAncientCity P14422 FINISHED
Object Perge 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: Perge | Statement: [Aksu, nearbyAncientCity, Perge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perge
Context triple: [Aksu, nearbyAncientCity, Perge]
  • A. Perge chosen
    Perge is an ancient Greco-Roman city in southern Turkey renowned for its well-preserved ruins, including a stadium, theater, and colonnaded streets.
  • B. Aspendos
    Aspendos is an ancient Greco-Roman city in southern Turkey renowned for its remarkably well-preserved Roman theater.
  • C. Edremit
    Edremit is a coastal town and district in western Turkey known for its olive cultivation, beaches along the Aegean Sea, and proximity to Mount Ida (Kaz Dağı).
  • D. Bergama
    Bergama is a town in western Turkey known for encompassing the archaeological remains of the ancient city of Pergamon, a major Hellenistic and Roman cultural and political center.
  • E. Hierapolis
    Hierapolis was an ancient Greco-Roman city in Phrygia (modern-day Turkey), known for its hot springs and as an early center of Christianity.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ce8eb081909257be47d150aa04 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.