Triple

T15850101
Position Surface form Disambiguated ID Type / Status
Subject Nebo E384311 entity
Predicate associatedWith P37 FINISHED
Object Mount Nebo E94478 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 Nebo | Statement: [Nebo, associatedWith, Mount Nebo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Nebo
Context triple: [Nebo, associatedWith, Mount Nebo]
  • A. Mount Nebo chosen
    Mount Nebo is a mountain in present-day Jordan traditionally revered as the place where Moses viewed the Promised Land before he died.
  • B. 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.
  • C. Mount Nebo
    Mount Nebo is a prominent peak in Queensland, Australia, known for its forested slopes, scenic views, and outdoor recreation opportunities near Brisbane.
  • D. Mount Tabor
    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.
  • E. Mount Halhul
    Mount Halhul is a prominent peak in the southern West Bank near the town of Halhul, known for its elevation and strategic views over the surrounding Judean landscape.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.