Triple

T20846296
Position Surface form Disambiguated ID Type / Status
Subject Balatonalmádi District E513233 entity
Predicate hasSettlement P1068 FINISHED
Object Berhida 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: Berhida | Statement: [Balatonalmádi District, hasSettlement, Berhida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berhida
Context triple: [Balatonalmádi District, hasSettlement, Berhida]
  • A. Berhida chosen
    Berhida is a small town in western Hungary known for its industrial background and location near the city of Veszprém.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • D. Shendi
    Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
  • E. Bazarak
    Bazarak is a small town in northeastern Afghanistan that serves as the administrative and political center of the strategically significant Panjshir region.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ffb588190881953a0480b29a8 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.