Triple

T8643733
Position Surface form Disambiguated ID Type / Status
Subject Har Tavor E204719 entity
Predicate nameInEnglish P3437 FINISHED
Object Mount Tabor E40563 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 Tabor | Statement: [Har Tavor, nameInEnglish, Mount Tabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Tabor
Context triple: [Har Tavor, nameInEnglish, Mount Tabor]
  • A. Mount Tabor chosen
    Mount Tabor is a prominent hill in northern Israel venerated in Christian tradition as the site of Jesus’ Transfiguration and a longstanding place of pilgrimage.
  • B. 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.
  • C. Mount Carmel
    Mount Carmel is a residential neighborhood in Hamden, Connecticut, known for its proximity to Sleeping Giant State Park and Quinnipiac University.
  • D. Mount Nebo
    Mount Nebo is a mountain in present-day Jordan traditionally revered as the place where Moses viewed the Promised Land before he died.
  • E. Mount Nebo
    Mount Nebo is a prominent mountain peak in central Utah known for its rugged terrain, scenic hiking trails, and status as the tallest summit in its surrounding range.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4798852881909c03c5eadf805e49 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4264a5508190abe663d099b907a6 completed April 3, 2026, 4:30 a.m.
Created at: March 30, 2026, 6:28 p.m.