Triple

T2012431
Position Surface form Disambiguated ID Type / Status
Subject OVO Hydro E43716 entity
Predicate previousNamingRightsPartner P17776 FINISHED
Object SSE
SSE is a major UK-based energy company known for generating, transmitting, distributing, and supplying electricity and gas, particularly in Scotland and Ireland.
 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: [OVO Hydro, previousNamingRightsPartner, SSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SSE
Context triple: [OVO Hydro, previousNamingRightsPartner, SSE]
  • A. SSE
    SSE is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • B. 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.
  • C. SST
    SST is the standard time observed in American Samoa, corresponding to the Samoa Time Zone.
  • D. SES
    SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • E. SSE2
    SSE2 is an x86 processor instruction set extension introduced by Intel that adds advanced SIMD (Single Instruction, Multiple Data) capabilities for faster floating-point and integer computations.
  • 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: [OVO Hydro, previousNamingRightsPartner, SSE]
Generated description
SSE is a major UK-based energy company known for generating, transmitting, distributing, and supplying electricity and gas, particularly in Scotland and Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SSE
Target entity description: SSE is a major UK-based energy company known for generating, transmitting, distributing, and supplying electricity and gas, particularly in Scotland and Ireland.
  • A. SSE
    SSE is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • B. 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.
  • C. SST
    SST is the standard time observed in American Samoa, corresponding to the Samoa Time Zone.
  • D. SES
    SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
  • E. SSE2
    SSE2 is an x86 processor instruction set extension introduced by Intel that adds advanced SIMD (Single Instruction, Multiple Data) capabilities for faster floating-point and integer computations.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b2ed6c8190ad51f0af90db2a02 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aea65d881908eb751349a2c23f9 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0bab9d7c8190acde67a6301e18ec completed March 8, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c2fe1a88190867b1d533d58b7fc completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:37 p.m.