Triple

T17093624
Position Surface form Disambiguated ID Type / Status
Subject ONCF E414784 entity
Predicate operatesService P5884 FINISHED
Object Al Boraq E414786 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: Al Boraq | Statement: [ONCF, operatesService, Al Boraq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Boraq
Context triple: [ONCF, operatesService, Al Boraq]
  • A. Al Boraq chosen
    Al Boraq is Morocco’s high-speed train service that connects major cities such as Casablanca and Tangier.
  • B. Al Hada
    Al Hada is a mountainous resort town in western Saudi Arabia, known for its scenic winding roads, cool climate, and panoramic views over the surrounding valleys.
  • C. At-Tiwal
    At-Tiwal is the group of the longest surahs in the Qur’an, traditionally recognized as a distinct category in classical Islamic scholarship.
  • D. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • E. Rawdat Al Hamama
    Rawdat Al Hamama is a rapidly developing residential district in Qatar known for its modern housing projects and growing community infrastructure.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.