Triple

T592982
Position Surface form Disambiguated ID Type / Status
Subject College of Liberal Arts and Sciences E17316 entity
Predicate shortName P43 FINISHED
Object LAS
LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
 E73961 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: LAS | Statement: [College of Liberal Arts and Sciences, shortName, LAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAS
Context triple: [College of Liberal Arts and Sciences, shortName, LAS]
  • A. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • B. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • C. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • D. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • E. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • 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: LAS
Triple: [College of Liberal Arts and Sciences, shortName, LAS]
Generated description
LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAS
Target entity description: LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
  • A. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • B. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • C. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • D. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • E. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bbcaf5c81908de4e27096d3da13 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a515565720819086c59527d6f782f5 completed March 2, 2026, 4:43 a.m.
NEDg Description generation batch_69a515d673e08190bf66072a20c5b912 completed March 2, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a5168e76448190aec260b3b9b4bdc6 completed March 2, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:33 p.m.