Triple

T9836352
Position Surface form Disambiguated ID Type / Status
Subject protected archaeological zone (At-Turaif) E239110 entity
Predicate locatedIn P40 FINISHED
Object Diriyah E46927 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: Diriyah | Statement: [protected archaeological zone (At-Turaif), locatedIn, Diriyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diriyah
Context triple: [protected archaeological zone (At-Turaif), locatedIn, Diriyah]
  • A. Diriyah chosen
    Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
  • B. Nasiriyah
    Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
  • C. Riyadh
    Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
  • D. Riyad
    Riyad is the given name of Algerian professional footballer Riyad Mahrez, a prominent winger known for his time at Leicester City and Manchester City.
  • E. Diwaniyah
    Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269b54d04819096ddc9f16a6db17b completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:33 p.m.