Triple

T113566
Position Surface form Disambiguated ID Type / Status
Subject Temple Mount E2295 entity
Predicate associatedWith P37 FINISHED
Object Mount Moriah E2295 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: Mount Moriah | Statement: [Temple Mount, associatedWith, Mount Moriah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Moriah
Context triple: [Temple Mount, associatedWith, Mount Moriah]
  • A. Mount Sinai
    Mount Sinai is the biblical mountain in the Sinai Peninsula where Moses is traditionally believed to have received God's law, making it a central site in Jewish, Christian, and Islamic tradition.
  • B. Science Hill
    Science Hill is a major academic area of Yale University that houses many of the university’s science departments, laboratories, and research facilities.
  • C. Mission Hill
    Mission Hill is a residential Boston neighborhood known for its historic brick rowhouses, hilly streets, and proximity to major medical and academic institutions.
  • D. Temple Mount chosen
    Temple Mount is a hilltop in Jerusalem revered as one of the holiest sites in Judaism, traditionally regarded as the location of the First and Second Temples.
  • E. Bunker Hill Monument
    The Bunker Hill Monument is a granite obelisk in Boston commemorating one of the first major battles of the American Revolutionary War.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256eddd748190984a304000988a75 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2850039588190a5f3ec0ba1b3cdda completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.