Triple

T14632748
Position Surface form Disambiguated ID Type / Status
Subject Miniyeh-Danniyeh District E343521 entity
Predicate administrativeCenter P1474 FINISHED
Object Miniyeh E1110603 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: Miniyeh | Statement: [Miniyeh-Danniyeh District, administrativeCenter, Miniyeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miniyeh
Context triple: [Miniyeh-Danniyeh District, administrativeCenter, Miniyeh]
  • A. Miniyeh chosen
    Miniyeh is a town in northern Lebanon that serves as the administrative and economic center of the Miniyeh-Danniyeh District in the North Governorate.
  • B. Minyas
    Minyas is a figure in Greek mythology known as the legendary founder and first king of Orchomenus in Boeotia.
  • C. Minilya
    Minilya is a small locality in Western Australia known primarily as a remote roadhouse and junction point for travelers in the state's northwest region.
  • D. Lundayeh
    Lundayeh are an indigenous Dayak ethnic group of the highland interior of Borneo, primarily found in northern Kalimantan, Sabah, and Sarawak, known for their rice cultivation, traditional longhouses, and rich oral traditions.
  • E. Danniyeh
    Danniyeh is a mountainous region in northern Lebanon known for its rural villages, natural landscapes, and agricultural communities.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16e85488190b0dcc2ccd2f5df4d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:26 a.m.