Triple

T10898855
Position Surface form Disambiguated ID Type / Status
Subject Jabal Katrinah E257380 entity
Predicate hasArabicName P6450 FINISHED
Object جبل كاترين E257380 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: جبل كاترين | Statement: [Jabal Katrinah, hasArabicName, جبل كاترين]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: جبل كاترين
Context triple: [Jabal Katrinah, hasArabicName, جبل كاترين]
  • A. Jabal Katrinah chosen
    Jabal Katrinah is the Arabic name for Mount Catherine, the highest mountain in Egypt, located in the Sinai Peninsula.
  • B. Mount Kasa
    Mount Kasa is a prominent peak in Japan’s Northern Alps, known for its distinctive triangular shape and popular hiking routes.
  • C. Mount Giona
    Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
  • D. Kozuf Mountain
    Kozuf Mountain is a mountain range in southern North Macedonia, on the border with Greece, known for its rugged terrain, ski resort, and panoramic views over the surrounding regions.
  • E. جبل أحد
    جبل أحد هو جبل تاريخي يقع شمال المدينة المنورة في السعودية ويُعد من أبرز المعالم الإسلامية لارتباطه بغزوة أحد في عهد النبي محمد ﷺ.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2392c8190bc2c2359d63eff7a completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15524ec5c8190a330ce5fc16dd11d completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.