Triple

T1987902
Position Surface form Disambiguated ID Type / Status
Subject Haramain high-speed railway E43182 entity
Predicate regionServed P82 FINISHED
Object Hejaz E43807 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: Hejaz | Statement: [Haramain high-speed railway, regionServed, Hejaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hejaz
Context triple: [Haramain high-speed railway, regionServed, Hejaz]
  • A. Hejaz chosen
    Hejaz is a historic western region of Saudi Arabia along the Red Sea coast, known as the birthplace of Islam and home to the holy cities of Mecca and Medina.
  • B. Al-Ghat
    Al-Ghat is a small town in central Saudi Arabia known for its agricultural heritage, traditional architecture, and location within the Najd region.
  • C. Hafar Al-Batin
    Hafar Al-Batin is a city in northeastern Saudi Arabia, located near the borders with Kuwait and Iraq, known as a key desert crossroads and regional commercial center.
  • D. Ha'il Region
    Ha'il Region is an administrative area in northwestern Saudi Arabia known for its desert landscapes, agricultural oases, and rich Najdi cultural heritage.
  • E. Kel Ajjer
    Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8421290819080d7d69a51fb3738 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2705752c81908054e8e0e426e86d completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:37 p.m.