Triple

T3207931
Position Surface form Disambiguated ID Type / Status
Subject Anatolia E67207 entity
Predicate alsoKnownAs P39 FINISHED
Object Anadolu E67207 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: Anadolu | Statement: [Anatolia, alsoKnownAs, Anadolu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anadolu
Context triple: [Anatolia, alsoKnownAs, Anadolu]
  • A. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • B. Lira
    Lira is a major town in northern Uganda that serves as an important commercial and administrative center for the surrounding region.
  • C. Kızılırmak Basin
    The Kızılırmak Basin is a major river basin in Turkey shaped by the Kızılırmak River, encompassing extensive agricultural lands, wetlands, and settlements in central Anatolia.
  • D. Sakarya
    Sakarya is a city in northwestern Turkey known for its strategic location near the Black Sea and its role as an important industrial and transportation hub.
  • E. Anatolia chosen
    Anatolia is a large peninsula in Western Asia that forms most of modern-day Turkey and has long served as a strategic crossroads between Europe and the Middle East.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bd0fcac8190a35690a109280702 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.