Triple

T16360043
Position Surface form Disambiguated ID Type / Status
Subject Har HaBayit E397285 entity
Predicate alsoKnownAs P39 FINISHED
Object Mount Moriah E87256 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: [Har HaBayit, alsoKnownAs, Mount Moriah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Moriah
Context triple: [Har HaBayit, alsoKnownAs, Mount Moriah]
  • A. Mount Moriah
    Mount Moriah is a prominent peak in New Hampshire’s White Mountains, known for its scenic hiking trails and expansive views within the Carter-Moriah Range.
  • B. Mount Moriah
    Mount Moriah is a film and television production company known for developing and producing independent screen projects.
  • C. Mount Moriah chosen
    Mount Moriah is the biblical mountain traditionally identified as the site where Abraham was prepared to sacrifice his son Isaac and later associated with the Temple Mount in Jerusalem.
  • D. Mount Moriah
    Mount Moriah is a small rural community located near the Bay of Islands on the west coast of Newfoundland, Canada.
  • E. Mount Moriah (by range context)
    Mount Moriah is a prominent, high-elevation peak in eastern Nevada’s Snake Range, known for its remote wilderness setting and alpine terrain.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad241848190a9f32c7b050f20a5 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbce2508190b655de87f48e841e completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.