Triple

T3160198
Position Surface form Disambiguated ID Type / Status
Subject Machaerus E66082 entity
Predicate viewOf P854 FINISHED
Object Judean Desert E62282 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: Judean Desert | Statement: [Machaerus, viewOf, Judean Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judean Desert
Context triple: [Machaerus, viewOf, Judean Desert]
  • A. Judean Desert chosen
    The Judean Desert is a rugged, arid region in eastern Israel and the West Bank, known for its steep canyons, dramatic cliffs, and historical sites overlooking the Dead Sea.
  • B. Negev desert
    The Negev desert is a vast arid region in southern Israel known for its stark landscapes, sparse population, and significant historical and strategic importance.
  • C. Chagai Desert
    The Chagai Desert is an arid region in western Balochistan, Pakistan, known for its harsh landscape and sparse population.
  • D. Nitrian Desert
    The Nitrian Desert is a desert region in northwestern Egypt historically known as a center of early Christian monasticism and ascetic communities.
  • E. Ad Dahna Desert
    Ad Dahna Desert is a long, narrow corridor of reddish sand dunes in central Saudi Arabia that links the Nafud Desert in the north with the Rub' al Khali in the south.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61606bc8190a8ad760d680924eb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235c3554c8190a94040955391a020 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.