Triple

T1956740
Position Surface form Disambiguated ID Type / Status
Subject Hail Region E42286 entity
Predicate hasMajorCity P316 FINISHED
Object Ha'il E218512 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: Ha'il | Statement: [Hail Region, hasMajorCity, Ha'il]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ha'il
Context triple: [Hail Region, hasMajorCity, Ha'il]
  • A. Ha'il chosen
    Ha'il is a major city in northwestern Saudi Arabia known historically as a key stop on desert trade routes and today as an agricultural and administrative center.
  • B. Ruqʿah
    Ruqʿah is a simple, highly legible style of Arabic script commonly used for everyday handwriting and quick note-taking.
  • C. Naqa
    Naqa was an ancient city and religious center of the Kingdom of Meroë in what is now Sudan, notable for its well-preserved temples and Kushite-period monuments.
  • D. Hajar
    Hajar is a revered figure in Islamic tradition, known as the wife of Prophet Ibrahim (Abraham) and the mother of Prophet Isma'il (Ishmael), whose faith and perseverance are commemorated in the rituals of Hajj.
  • E. Al Khurmah
    Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37b4a38819099f98be92be91ade completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae031cc7948190a4d9593cd118c149 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.