Triple

T67166
Position Surface form Disambiguated ID Type / Status
Subject Arab world E1339 entity
Predicate hasCountry P846 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: [Arab world, hasCountry, Oman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oman
Context triple: [Arab world, hasCountry, 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. Qatar
    Qatar is a wealthy Gulf nation on the Arabian Peninsula known for its vast natural gas reserves, rapid modernization, and large expatriate workforce.
  • D. Yemen
    Yemen is a country on the southern tip of the Arabian Peninsula, known for its ancient history, strategic Red Sea coastline, and ongoing complex humanitarian and political crises.
  • E. Saudi Arabia
    Saudi Arabia is a Middle Eastern kingdom on the Arabian Peninsula known for its vast oil reserves, custodianship of Islam’s holiest sites, and significant geopolitical influence.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24f01a2108190a494e7bfcced8290 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e3ba20dc81908b2ebffae3dd90ac completed Feb. 28, 2026, 12:46 p.m.
Created at: Feb. 28, 2026, 2:02 a.m.