Triple

T18060051
Position Surface form Disambiguated ID Type / Status
Subject Stockholm School of Economics E432145 entity
Predicate abbreviation P43 FINISHED
Object SSE
SSE is a leading European business school based in Stockholm, Sweden, renowned for its rigorous economics and business programs and strong ties to industry.
 E1304340 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: SSE | Statement: [Stockholm School of Economics, abbreviation, SSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SSE
Context triple: [Stockholm School of Economics, abbreviation, SSE]
  • A. SSE
    SSE is the abbreviated name of the Hellenic Military Academy, Greece’s premier institution for training army officers.
  • B. SSE
    SSE is the commonly used abbreviation for Sharks Sports & Entertainment, the company that owns and operates the NHL’s San Jose Sharks and related sports and entertainment properties.
  • C. SSE
    SSE is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • D. SSE
    SSE is the commonly used abbreviation for the Shanghai Stock Exchange, one of the largest stock exchanges in the world and a major financial hub in China.
  • E. SSE
    SSE (Streaming SIMD Extensions) is an Intel processor instruction set extension that accelerates multimedia, floating-point, and parallel data processing operations.
  • 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: SSE
Triple: [Stockholm School of Economics, abbreviation, SSE]
Generated description
SSE is a leading European business school based in Stockholm, Sweden, renowned for its rigorous economics and business programs and strong ties to industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SSE
Target entity description: SSE is a leading European business school based in Stockholm, Sweden, renowned for its rigorous economics and business programs and strong ties to industry.
  • A. SSE
    SSE is the commonly used abbreviation for the Shanghai Stock Exchange, one of the largest stock exchanges in the world and a major financial hub in China.
  • B. SSE
    SSE is a major UK-based energy company known for generating, transmitting, distributing, and supplying electricity and gas, particularly in Scotland and Ireland.
  • C. SSE
    SSE is the abbreviated name of the Hellenic Military Academy, Greece’s premier institution for training army officers.
  • D. SSE
    SSE is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • E. SSE
    SSE (Streaming SIMD Extensions) is an Intel processor instruction set extension that accelerates multimedia, floating-point, and parallel data processing operations.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c10583648190a161c58abf4853d5 completed April 19, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03566907988190aef2b0ceb2c9f4dc completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03591fa4cc819084d1e50b7e5263cf completed May 12, 2026, 4:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0359a3ead48190996d95ad5aaa2302 completed May 12, 2026, 4:47 p.m.
Created at: April 10, 2026, 10:26 a.m.