Triple

T16856790
Position Surface form Disambiguated ID Type / Status
Subject 1568 Edict of Torda E409803 entity
Predicate place P373 FINISHED
Object Torda E1099333 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: Torda | Statement: [1568 Edict of Torda, place, Torda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torda
Context triple: [1568 Edict of Torda, place, Torda]
  • A. Torda chosen
    Torda is an alternative historical name for the Romanian city of Turda, known for its rich history and notable salt mine in Transylvania.
  • B. Pallatanga
    Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
  • C. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • D. Huși
    Huși is a small city in eastern Romania known for its vineyards and wine production, located in the historical region of Western Moldavia.
  • E. Trencsén
    Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37e34b88190bb4468424e2edf2d completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbfb781881908f4d56f523e78f7a completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:24 a.m.