Triple

T16175707
Position Surface form Disambiguated ID Type / Status
Subject Basic Statute of the State E392558 entity
Predicate inForceIn P6526 FINISHED
Object Oman E19046 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: Oman | Statement: [Basic Statute of the State, inForceIn, Oman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oman
Context triple: [Basic Statute of the State, inForceIn, Oman]
  • A. Oman chosen
    Oman is a Middle Eastern country on the southeastern coast of the Arabian Peninsula, known for its historic trading ports, desert and mountain landscapes, and stable, oil-based economy.
  • B. Bahrain
    Bahrain is a small island nation in the Persian Gulf known for its rich history, oil wealth, and status as a regional financial and cultural hub.
  • C. Bahrain
    Bahrain is a popular riverside town and tourist destination in Pakistan’s Swat Valley, known for its scenic beauty and as a base for exploring nearby mountain areas.
  • D. Dhofar
    Dhofar is a coastal and mountainous region in southwestern Oman known for its monsoon climate, frankincense production, and historical role in Arabian trade routes.
  • E. Sulaymaniya
    Sulaymaniya is a sub-school within the Zaydi branch of Shia Islam, distinguished by its own specific theological and legal interpretations.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21ebb7d048190beba4b584f87d5b0 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0017a7223c81909f04144bdffb22ff completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:02 a.m.