Triple

T7522940
Position Surface form Disambiguated ID Type / Status
Subject School of Natural Sciences (UC Merced) E177816 entity
Predicate abbreviation P43 FINISHED
Object SNS
SNS is the School of Natural Sciences at the University of California, Merced, which focuses on education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
 E670659 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: SNS | Statement: [School of Natural Sciences (UC Merced), abbreviation, SNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNS
Context triple: [School of Natural Sciences (UC Merced), abbreviation, SNS]
  • A. SNS
    SNS is the National Rail station code for Staines railway station in Surrey, England.
  • B. SNA
    SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
  • C. SNA
    SNA is the commonly used abbreviation for the United Nations System of National Accounts, the international standard framework for measuring a country’s economic activity.
  • D. sns
    sns is the conventional alias used when importing Seaborn, a popular Python data visualization library built on top of Matplotlib.
  • E. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • 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: SNS
Triple: [School of Natural Sciences (UC Merced), abbreviation, SNS]
Generated description
SNS is the School of Natural Sciences at the University of California, Merced, which focuses on education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SNS
Target entity description: SNS is the School of Natural Sciences at the University of California, Merced, which focuses on education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
  • A. SNS
    SNS is the National Rail station code for Staines railway station in Surrey, England.
  • B. SNA
    SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
  • C. SNA
    SNA is the commonly used abbreviation for the United Nations System of National Accounts, the international standard framework for measuring a country’s economic activity.
  • D. sns
    sns is the conventional alias used when importing Seaborn, a popular Python data visualization library built on top of Matplotlib.
  • E. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c4f32081908b5162f4551adb6d completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462d743481909a3cfb6d31d94d98 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84765ee64819082d3189c8a768455 completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c84828b2c48190a70f3bcd9e7554cc completed March 28, 2026, 9:29 p.m.
Created at: March 27, 2026, 3:46 p.m.