Triple

T10401362
Position Surface form Disambiguated ID Type / Status
Subject Wadi Hanifa E245152 entity
Predicate nearbySettlement P350 FINISHED
Object Al-Ha’ir E863736 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-Ha’ir | Statement: [Wadi Hanifa, nearbySettlement, Al-Ha’ir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ha’ir
Context triple: [Wadi Hanifa, nearbySettlement, Al-Ha’ir]
  • A. Al-Ha’ir chosen
    Al-Ha’ir is a town in the Riyadh region of Saudi Arabia known for its agricultural lands, historical significance, and location along the Wadi Hanifa valley.
  • B. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • C. Madā’in
    Madā’in is the historical name for the ancient Mesopotamian metropolis of Ctesiphon, a major capital of the Parthian and Sasanian empires on the Tigris River.
  • D. Umm al-Hasan
    Umm al-Hasan was a daughter of Hasan ibn Ali, the second Shia Imam and grandson of the Prophet Muhammad, and thus a member of the early Islamic prophetic household (Ahl al-Bayt).
  • E. al-Khayzuran
    Al-Khayzuran was a powerful and influential Abbasid queen and consort who played a major political role during the reigns of her sons, caliphs al-Hadi and Harun al-Rashid.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5197cc8190ad70c665ec2f8fa8 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:07 p.m.