Triple

T14302595
Position Surface form Disambiguated ID Type / Status
Subject Université Paris-Est E354604 entity
Predicate hasAbbreviation P43 FINISHED
Object UPE
UPE is the abbreviation for Université Paris-Est, a French higher education and research institution located in the eastern part of the Paris metropolitan area.
E1091557 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: UPE | Statement: [Université Paris-Est, hasAbbreviation, UPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UPE
Context triple: [Université Paris-Est, hasAbbreviation, UPE]
  • A. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • B. UPA
    UPA is a major Indian political coalition led by the Indian National Congress that has formed the central government of India multiple times.
  • C. UPA
    UPA is a Ukrainian nationalist paramilitary organization that operated during and after World War II, primarily known for its guerrilla warfare against both Nazi Germany and the Soviet Union.
  • D. UPG
    UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
  • E. UPB
    UPB is the commonly used abbreviation for the Politehnica University of Bucharest, a major technical university in Romania.
  • 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: UPE
Triple: [Université Paris-Est, hasAbbreviation, UPE]
Generated description
UPE is the abbreviation for Université Paris-Est, a French higher education and research institution located in the eastern part of the Paris metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UPE
Target entity description: UPE is the abbreviation for Université Paris-Est, a French higher education and research institution located in the eastern part of the Paris metropolitan area.
  • A. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • B. UPA
    UPA is a major Indian political coalition led by the Indian National Congress that has formed the central government of India multiple times.
  • C. UPA
    UPA is a Ukrainian nationalist paramilitary organization that operated during and after World War II, primarily known for its guerrilla warfare against both Nazi Germany and the Soviet Union.
  • D. UPG
    UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
  • E. UPB
    UPB is the commonly used abbreviation for the Politehnica University of Bucharest, a major technical university in Romania.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3dc46b408190b7c515156f81f1fc completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3eb045488190b44812eb638807ff completed May 8, 2026, 1:38 a.m.
Created at: April 10, 2026, 1:12 a.m.