Triple

T4737775
Position Surface form Disambiguated ID Type / Status
Subject Syrian Arab Army E105166 entity
Predicate shortName P43 FINISHED
Object SAA
The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
E465565 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: SAA | Statement: [Syrian Arab Army, shortName, SAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAA
Context triple: [Syrian Arab Army, shortName, SAA]
  • A. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • B. SSA
    SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
  • C. SSA
    SSA is the commonly used acronym for Mexico’s federal Secretariat of Health, the government ministry responsible for national public health policy and services.
  • D. SSA
    SSA is the French Armed Forces Health Service, responsible for providing medical support and healthcare to military personnel in France and during overseas operations.
  • E. SSA
    SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
  • 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: SAA
Triple: [Syrian Arab Army, shortName, SAA]
Generated description
The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAA
Target entity description: The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • A. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • B. SSA
    SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
  • C. SSA
    SSA is the commonly used acronym for Mexico’s federal Secretariat of Health, the government ministry responsible for national public health policy and services.
  • D. SSA
    SSA is the French Armed Forces Health Service, responsible for providing medical support and healthcare to military personnel in France and during overseas operations.
  • E. SSA
    SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64844b7081909c9d36e4b461379e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b8e7ec81908cc1ec9b94a6bee4 completed March 21, 2026, 3:30 a.m.
NEDg Description generation batch_69be1a2de8e08190b26f206434eb9502 completed March 21, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69be1a94d8b8819092f7a273cc19ebe9 completed March 21, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:19 p.m.