Triple

T994122
Position Surface form Disambiguated ID Type / Status
Subject Office of South Central European Affairs E21456 entity
Predicate hasAbbreviation P43 FINISHED
Object SCE
SCE is the abbreviation for the Office of South Central European Affairs, a U.S. State Department office focused on diplomacy and policy in the South Central Europe region.
E117033 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: SCE | Statement: [Office of South Central European Affairs, hasAbbreviation, SCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SCE
Context triple: [Office of South Central European Affairs, hasAbbreviation, SCE]
  • A. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • B. SBC
    SBC is a standard Bluetooth audio codec used for wireless transmission of sound between devices such as headphones and smartphones.
  • C. SPL
    SPL is the commonly used abbreviation for the Scottish Premier League, the former top professional football division in Scotland.
  • D. SEB
    SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
  • E. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • 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: SCE
Triple: [Office of South Central European Affairs, hasAbbreviation, SCE]
Generated description
SCE is the abbreviation for the Office of South Central European Affairs, a U.S. State Department office focused on diplomacy and policy in the South Central Europe region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SCE
Target entity description: SCE is the abbreviation for the Office of South Central European Affairs, a U.S. State Department office focused on diplomacy and policy in the South Central Europe region.
  • A. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • B. SBC
    SBC is a standard Bluetooth audio codec used for wireless transmission of sound between devices such as headphones and smartphones.
  • C. SPL
    SPL is the commonly used abbreviation for the Scottish Premier League, the former top professional football division in Scotland.
  • D. SEB
    SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
  • E. SCSE
    SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c5e16881908cd5f7ba2fcd5084 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac25919bcc8190886f19405536681b completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac269b2054819081e17a1c13068c1b completed March 7, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_69ac26f947d481908ab1b7115cf9dee7 completed March 7, 2026, 1:24 p.m.
Created at: March 1, 2026, 7:41 p.m.