Triple

T1836476
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Province E41077 entity
Predicate hasCity P316 FINISHED
Object Al-Quway'iyah E210781 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-Quway'iyah | Statement: [Riyadh Province, hasCity, Al-Quway'iyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Quway'iyah
Context triple: [Riyadh Province, hasCity, Al-Quway'iyah]
  • A. Al-Quway'iyah chosen
    Al-Quway'iyah is a town in central Saudi Arabia that serves as an important local center within the Riyadh region.
  • B. Al Khurmah
    Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
  • C. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • D. Al Qunfudhah
    Al Qunfudhah is a coastal city in western Saudi Arabia on the Red Sea, known as a regional port and commercial center within Makkah Province.
  • E. Al Qaim
    Al Qaim is a city in western Iraq near the Syrian border, known for its strategic location along the Euphrates River and its role in regional trade and 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c39a448190923588d9c07313e1 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:33 p.m.