Triple

T4340029
Position Surface form Disambiguated ID Type / Status
Subject Sultan of Oman's Armed Forces E97556 entity
Predicate shortName P43 FINISHED
Object SOAF
SOAF is the commonly used abbreviation for the Sultan of Oman's Armed Forces, the unified military organization responsible for defending the Sultanate of Oman.
 E432073 NE FINISHED

How this triple was built (4 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: SOAF | Statement: [Sultan of Oman's Armed Forces, shortName, SOAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOAF
Context triple: [Sultan of Oman's Armed Forces, shortName, SOAF]
  • A. SOFI
    SOFI is the commonly used abbreviation for the annual United Nations report “The State of Food Security and Nutrition in the World,” which monitors global hunger and nutrition trends.
  • B. SOFI
    SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
  • C. SAOB
    SAOB is the standard historical dictionary of the Swedish language, published by the Swedish Academy.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SOAF
Triple: [Sultan of Oman's Armed Forces, shortName, SOAF]
Generated description
SOAF is the commonly used abbreviation for the Sultan of Oman's Armed Forces, the unified military organization responsible for defending the Sultanate of Oman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOAF
Target entity description: SOAF is the commonly used abbreviation for the Sultan of Oman's Armed Forces, the unified military organization responsible for defending the Sultanate of Oman.
  • A. SOFI
    SOFI is the commonly used abbreviation for the annual United Nations report “The State of Food Security and Nutrition in the World,” which monitors global hunger and nutrition trends.
  • B. SOFI
    SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
  • C. SAOB
    SAOB is the standard historical dictionary of the Swedish language, published by the Swedish Academy.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • F. None of above. chosen

Provenance (5 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516f92588190bdf004d8020c1203 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0b301188190af8514a675aebb5f completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d137271c8190a2d66fb47eb10d93 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4e5e24c8190980bc545ca0d339d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:14 p.m.