Triple

T1732540
Position Surface form Disambiguated ID Type / Status
Subject Hatikvah E37844 entity
Predicate mentions P831 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: [Hatikvah, mentions, Zion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zion
Context triple: [Hatikvah, mentions, 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. 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.
  • C. 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.
  • D. Kanosh
    Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
  • E. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa639edaf88190b64b2f630a53f67c completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8afd15a881909a5d55dd960799d1 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.