Triple

T22531887
Position Surface form Disambiguated ID Type / Status
Subject Ein Feshkha E557057 entity
Predicate locatedNear P294 FINISHED
Object Qumran 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: Qumran | Statement: [Ein Feshkha, locatedNear, Qumran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qumran
Context triple: [Ein Feshkha, locatedNear, Qumran]
  • A. Qumran chosen
    Qumran is an archaeological site in the West Bank best known for its ancient ruins and its association with the nearby caves where the Dead Sea Scrolls were discovered.
  • B. Qumranet
    Qumranet was an Israeli virtualization technology company best known for creating the KVM (Kernel-based Virtual Machine) hypervisor later acquired by Red Hat.
  • C. Nachal Kedumim
    Nachal Kedumim is a rabbinic work by the Sephardic sage Chida, known for its scholarly insights into Jewish texts and traditions.
  • D. Tel Maresha
    Tel Maresha is an archaeological mound in central Israel identified with the ancient city of Maresha, notable for its extensive underground cave systems and remains from the Hellenistic and Roman periods.
  • E. Matala
    Matala is a coastal village on the southern coast of Crete, Greece, famous for its sandy beach and cliffside caves that became a popular hippie destination in the 1960s and 1970s.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed7625081908bdb6cebcda96712 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.