Triple

T340923
Position Surface form Disambiguated ID Type / Status
Subject Mecca E6835 entity
Predicate locatedIn P40 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: [Mecca, locatedIn, Hejaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hejaz
Context triple: [Mecca, locatedIn, 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. Kel Ajjer
    Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
  • C. Najran Region
    Najran Region is an administrative area in southwestern Saudi Arabia known for its historical significance, cultural heritage, and location along the border with Yemen.
  • D. Asir region
    The Asir region is a mountainous, relatively lush and temperate area in southwestern Saudi Arabia known for its terraced agriculture, distinctive architecture, and cultural heritage.
  • E. Al Bahah Region
    Al Bahah Region is a mountainous administrative province in southwestern Saudi Arabia known for its cool climate, forests, and traditional villages.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae611f88190955fbebe2b01835b completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad03f5c819085d2c7686f4d2809 completed March 1, 2026, 9:45 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.