Triple

T14192941
Position Surface form Disambiguated ID Type / Status
Subject Upper Yafa E351757 entity
Predicate locatedIn P40 FINISHED
Object Yafa region E380968 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: Yafa region | Statement: [Upper Yafa, locatedIn, Yafa region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yafa region
Context triple: [Upper Yafa, locatedIn, Yafa region]
  • A. Saran region
    The Saran region is a historical and administrative area in the Indian state of Bihar, known for its agrarian landscape and centered around the town of Chhapra.
  • B. as-Safa region
    The as-Safa region is a basaltic desert area in southern Syria and northern Jordan known for its extensive Safaitic rock inscriptions left by ancient nomadic tribes.
  • C. Razih region chosen
    The Razih region is a mountainous area in northwestern Yemen known for its distinct local culture and dialects, including Razihi Arabic.
  • D. Wadi Fira Region
    Wadi Fira Region is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • E. Jabal al-Lawz region
    The Jabal al-Lawz region is a mountainous area in northwestern Saudi Arabia known for its prominent peak rising from the surrounding Arabian Desert landscape.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280861fc81908c342fc229a526f3 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.