Triple

T496356
Position Surface form Disambiguated ID Type / Status
Subject Mustafa Kemal Atatürk E10302 entity
Predicate placeOfBirth P1 FINISHED
Object Thessaloniki E23830 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: Thessaloniki | Statement: [Mustafa Kemal Atatürk, placeOfBirth, Thessaloniki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thessaloniki
Context triple: [Mustafa Kemal Atatürk, placeOfBirth, Thessaloniki]
  • A. Salonika chosen
    Salonika, historically known as Thessaloniki, is a major port city in northern Greece that has long served as a key commercial and cultural crossroads of the Balkans and the eastern Mediterranean.
  • B. Piraeus
    Piraeus is the main port of Athens and one of the largest and busiest seaports in the Mediterranean, serving as a key hub for Greek and international maritime trade and passenger transport.
  • C. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • D. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • E. Pella
    Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f115334881908ac5ab96c7f4214e completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a426771c8190a5d1dc6a80a9c1d2 completed March 1, 2026, 8:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.