Triple

T7293863
Position Surface form Disambiguated ID Type / Status
Subject Emporia State University E164465 entity
Predicate acronym P43 FINISHED
Object ESU
ESU is a public university in Emporia, Kansas, known for its programs in education, business, and liberal arts.
E654659 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: ESU | Statement: [Emporia State University, acronym, ESU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESU
Context triple: [Emporia State University, acronym, ESU]
  • A. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • B. ESE
    ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
  • C. EDSD
    EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
  • D. YSU
    YSU is a public research university located in Youngstown, Ohio, known for its diverse academic programs and strong regional presence.
  • E. WES
    WES is the historic Chapman code used in genealogical records to represent the former English county of Westmorland.
  • 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: ESU
Triple: [Emporia State University, acronym, ESU]
Generated description
ESU is a public university in Emporia, Kansas, known for its programs in education, business, and liberal arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESU
Target entity description: ESU is a public university in Emporia, Kansas, known for its programs in education, business, and liberal arts.
  • A. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • B. ESE
    ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
  • C. EDSD
    EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
  • D. YSU
    YSU is a public research university located in Youngstown, Ohio, known for its diverse academic programs and strong regional presence.
  • E. WES
    WES is the standard abbreviation for the Westchester Knicks, the NBA G League affiliate of the New York Knicks.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e543c22c8190acf8dcffd9c59520 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e5df5eb08190a22e53b95fbc23f2 completed March 28, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_69c7e64fe200819081901b32523a5fa5 completed March 28, 2026, 2:31 p.m.
Created at: March 27, 2026, 3 p.m.