Triple

T10769268
Position Surface form Disambiguated ID Type / Status
Subject Diputació de Barcelona E254031 entity
Predicate shortName P43 FINISHED
Object DIBA
DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
 E884790 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: DIBA | Statement: [Diputació de Barcelona, shortName, DIBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DIBA
Context triple: [Diputació de Barcelona, shortName, DIBA]
  • A. DIBS
    DIBS is the costumed blue demon mascot representing DePaul University’s athletic teams, the Blue Demons.
  • B. DABB
    DABB is the ICAO airport code for Rabah Bitat Airport, an international airport serving Annaba in northeastern Algeria.
  • C. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • D. Bdebba
    Bdebba is a town located in the Koura District of the North Governorate in Lebanon, known for its rural character and Mediterranean setting.
  • E. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • 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: DIBA
Triple: [Diputació de Barcelona, shortName, DIBA]
Generated description
DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DIBA
Target entity description: DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
  • A. DIBS
    DIBS is the costumed blue demon mascot representing DePaul University’s athletic teams, the Blue Demons.
  • B. DABB
    DABB is the ICAO airport code for Rabah Bitat Airport, an international airport serving Annaba in northeastern Algeria.
  • C. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • D. Bdebba
    Bdebba is a town located in the Koura District of the North Governorate in Lebanon, known for its rural character and Mediterranean setting.
  • E. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.