Triple

T6490357
Position Surface form Disambiguated ID Type / Status
Subject University of Houston E148018 entity
Predicate abbreviation P43 FINISHED
Object UH
UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
 E596762 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: UH | Statement: [University of Houston, abbreviation, UH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UH
Context triple: [University of Houston, abbreviation, UH]
  • A. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • B. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • C. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • D. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • E. UW
    UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
  • 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: UH
Triple: [University of Houston, abbreviation, UH]
Generated description
UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UH
Target entity description: UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
  • A. UH
    UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • B. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • C. UW
    UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • D. UW
    UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
  • E. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9926fc81909db0f390e385e97d completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653ba03288190ba4e4ce99d0ba32e completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c655afe8b88190a4d9ba83126e71af completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c65613a30c81908c737122e1005290 completed March 27, 2026, 10:04 a.m.
Created at: March 22, 2026, 4:53 p.m.