Triple

T20315056
Position Surface form Disambiguated ID Type / Status
Subject SSE plc E510356 entity
Predicate hasAbbreviation P43 FINISHED
Object SSE
SSE is a major British energy company involved in the generation, transmission, distribution, and supply of electricity and gas.
E225778 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: [SSE plc, hasAbbreviation, SSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSE
Context triple: [SSE plc, hasAbbreviation, 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: [SSE plc, hasAbbreviation, SSE]
Generated description
SSE is a major British energy company involved in the generation, transmission, distribution, and supply of electricity and gas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SSE
Target entity description: SSE is a major British energy company involved in the generation, transmission, distribution, and supply of electricity and gas.
  • A. SSE chosen
    SSE is a major UK-based energy company known for generating, transmitting, distributing, and supplying electricity and gas, particularly in Scotland and Ireland.
  • 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 a leading European business school based in Stockholm, Sweden, renowned for its rigorous economics and business programs and strong ties to industry.
  • 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.

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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0861246f188190a0ffb84a61a7d8c1 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a08627316d48190ab6f2f2cedd9b1db completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a086317d0888190809268c3b8b95f6f completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:19 a.m.