Triple

T11497795
Position Surface form Disambiguated ID Type / Status
Subject Fahd bin Abdulaziz Al Saud E272585 entity
Predicate placeOfBirth P1 FINISHED
Object Nejd E128143 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: Nejd | Statement: [Fahd bin Abdulaziz Al Saud, placeOfBirth, Nejd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nejd
Context triple: [Fahd bin Abdulaziz Al Saud, placeOfBirth, Nejd]
  • A. Nejd chosen
    Nejd is a vast central region of the Arabian Peninsula that historically served as the heartland of the Saudi state and the birthplace of its ruling dynasty.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nied
    Nied is a district of Frankfurt am Main in Germany, located along the River Main and known for its mix of residential areas and green spaces.
  • D. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • E. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e60497be2c8190a82362280e51698a completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.