Triple

T2334311
Position Surface form Disambiguated ID Type / Status
Subject Najd E44274 entity
Predicate subregion P747 FINISHED
Object Wadi Hanifa E245152 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: Wadi Hanifa | Statement: [Najd, subregion, Wadi Hanifa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wadi Hanifa
Context triple: [Najd, subregion, Wadi Hanifa]
  • A. Wadi Hanifa chosen
    Wadi Hanifa is a major seasonal river valley in the Riyadh region of Saudi Arabia, known for its historical settlements, agricultural significance, and modern environmental rehabilitation as a scenic natural corridor.
  • B. Wadi an-Nar
    Wadi an-Nar is the Arabic name for the Kidron Valley’s seasonal watercourse that runs between Jerusalem and the Dead Sea.
  • C. Wadi Fira
    Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • D. Wadi Al-Fara
    Wadi Al-Fara is a town in Saudi Arabia’s Al Madinah Province, known for its location along a seasonal valley (wadi) in the western part of the country.
  • E. Wadi ad-Dawasir
    Wadi ad-Dawasir is a town and oasis area in southern Riyadh Province, Saudi Arabia, known for its agriculture and location along a major desert valley.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3be86dc8190af185bac9554e7d6 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:51 p.m.