Triple

T4296087
Position Surface form Disambiguated ID Type / Status
Subject Universidad del Bío-Bío E99715 entity
Predicate abbreviation P43 FINISHED
Object UBB
UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
E429558 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: UBB | Statement: [Universidad del Bío-Bío, abbreviation, UBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBB
Context triple: [Universidad del Bío-Bío, abbreviation, UBB]
  • A. UUBW
    UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
  • B. BB
    BB is the vehicle registration code used on license plates for the German town and district of Böblingen in the state of Baden-Württemberg.
  • C. BBD
    BBD is the official currency code for the Barbadian dollar, the legal tender of Barbados.
  • D. .bb
    .bb is the country code top-level domain (ccTLD) assigned to Barbados for use in internet addresses associated with the country.
  • E. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • 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: UBB
Triple: [Universidad del Bío-Bío, abbreviation, UBB]
Generated description
UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UBB
Target entity description: UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
  • A. UUBW
    UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
  • B. BB
    BB is the vehicle registration code used on license plates for the German town and district of Böblingen in the state of Baden-Württemberg.
  • C. BBD
    BBD is the official currency code for the Barbadian dollar, the legal tender of Barbados.
  • D. .bb
    .bb is the country code top-level domain (ccTLD) assigned to Barbados for use in internet addresses associated with the country.
  • E. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7439b3481908d2554f7b86002aa completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c95ac9188190bded2c31e969b63b completed March 14, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5c9dc6ca4819098d00e6c03edf56a completed March 14, 2026, 8:49 p.m.
Created at: March 12, 2026, 11:08 p.m.