Triple

T4852282
Position Surface form Disambiguated ID Type / Status
Subject 1 Kings E108443 entity
Predicate keyLocation P40 FINISHED
Object Mount Carmel E69227 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 Carmel | Statement: [1 Kings, keyLocation, Mount Carmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Carmel
Context triple: [1 Kings, keyLocation, Mount Carmel]
  • A. Mount Carmel chosen
    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.
  • B. 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.
  • C. Mount Meron
    Mount Meron is a prominent mountain in northern Israel known for its religious significance, nature reserves, and status as one of the country's highest peaks.
  • D. 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.
  • E. Mount Zion
    Mount Zion is a prominent foothill of the Rocky Mountains near Golden, Colorado, known for its scenic views, hiking trails, and the iconic Colorado School of Mines "M" on its slope.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d39a4cc81908e27f587729225b0 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77907130819084dc6a5eaff42a27 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:26 p.m.