Triple

T15365776
Position Surface form Disambiguated ID Type / Status
Subject Benzion E367409 entity
Predicate etymologyComponent P506 FINISHED
Object Zion E16772 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: Zion | Statement: [Benzion, etymologyComponent, Zion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zion
Context triple: [Benzion, etymologyComponent, Zion]
  • A. Zion chosen
    Zion is a biblical term referring primarily to Jerusalem and, more broadly, the historic Land of Israel, symbolizing the spiritual and national homeland of the Jewish people.
  • B. Zion
    Zion is a musical artist known for collaborating as a guest performer with other acts, including The Hip-Hop Violinist.
  • C. Zion
    Zion is the last human city deep underground in the Matrix franchise, serving as the central stronghold of humanity’s resistance against the machines.
  • D. Mount Zion
    Mount Zion is a San Francisco medical campus and hospital complex associated with the University of California, San Francisco, known for providing specialized clinical care and research.
  • E. Mount Zion
    Mount Zion is a prominent foothill of the Rocky Mountains near Golden, Colorado, known for its scenic views, hiking trails, and the iconic Colorado School of Mines "M" on its slope.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4cc39c81908a0aff959352f6d5 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.