Triple

T4793955
Position Surface form Disambiguated ID Type / Status
Subject Psalm 132 E106666 entity
Predicate keyLocation P40 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: [Psalm 132, keyLocation, Zion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zion
Context triple: [Psalm 132, keyLocation, 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. 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.
  • D. 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.
  • E. Mount Carmel
    Mount Carmel is a coastal mountain range in northern Israel known for its religious significance, scenic landscapes, and the city of Haifa built on its slopes.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66088d588190839acfbac6e1c3dd completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d96f7e88190be4ba5c7ceb07608 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.