Triple

T2786337
Position Surface form Disambiguated ID Type / Status
Subject Masada E61818 entity
Predicate nearbyCity P350 FINISHED
Object Arad E304244 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: Arad | Statement: [Masada, nearbyCity, Arad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arad
Context triple: [Masada, nearbyCity, Arad]
  • A. Arad chosen
    Arad is a small Israeli city on the edge of the Negev Desert, known for its dry climate, desert landscapes, and proximity to the Dead Sea and Masada.
  • B. Craiova
    Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
  • C. Miercurea Ciuc
    Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
  • D. Oradea
    Oradea is a major city in western Romania near the Hungarian border, known for its Art Nouveau architecture, thermal spas, and role as an important cultural and economic center in the region.
  • E. Soroca
    Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb0d3488190a3f2bf47ebb35802 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0668748190ad09ce0fabc0fefe completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 9:57 p.m.