Triple

T12158933
Position Surface form Disambiguated ID Type / Status
Subject Hotat Bani Tamim Governorate E289652 entity
Predicate hasMajorSettlement P316 FINISHED
Object Hotat Bani Tamim E205237 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: Hotat Bani Tamim | Statement: [Hotat Bani Tamim Governorate, hasMajorSettlement, Hotat Bani Tamim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotat Bani Tamim
Context triple: [Hotat Bani Tamim Governorate, hasMajorSettlement, Hotat Bani Tamim]
  • A. Hotat Bani Tamim chosen
    Hotat Bani Tamim is a town in central Saudi Arabia known as a local administrative and population center within the Riyadh region.
  • B. Tammam Salam
    Tammam Salam is a Lebanese politician who served as Prime Minister of Lebanon and has long been a prominent figure in the country’s political life.
  • C. Rajwa Al Saif
    Rajwa Al Saif is a Saudi-born architect who became a member of the Jordanian royal family through her marriage to Crown Prince Hussein.
  • D. Khalaf
    Khalaf is an Arabic surname commonly borne by individuals and families across the Middle East and the broader Arab diaspora.
  • E. Waniss Bukhmada
    Waniss Bukhmada is a Libyan military commander known for his prominent leadership role in General Khalifa Haftar’s forces during the Libyan civil conflict.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a837a5881908c600be0be334269 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.