Triple

T22625344
Position Surface form Disambiguated ID Type / Status
Subject Hof HaCarmel Regional Council E558399 entity
Predicate locatedNear P294 FINISHED
Object Mount Carmel NE NERFINISHED

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: [Hof HaCarmel Regional Council, locatedNear, Mount Carmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Carmel
Context triple: [Hof HaCarmel Regional Council, locatedNear, 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 Carmel
    Mount Carmel is a residential neighborhood in Hamden, Connecticut, known for its proximity to Sleeping Giant State Park and Quinnipiac University.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3c5cb88190b172f9f92eb58d7f completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:01 p.m.