Triple

T13088265
Position Surface form Disambiguated ID Type / Status
Subject Balkan Bulgarian Airlines E310392 entity
Predicate predecessor P97 FINISHED
Object TABSO
TABSO was the former national airline of Bulgaria that operated during the socialist era before being reorganized into Balkan Bulgarian Airlines.
E1021241 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: TABSO | Statement: [Balkan Bulgarian Airlines, predecessor, TABSO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TABSO
Context triple: [Balkan Bulgarian Airlines, predecessor, TABSO]
  • A. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • B. Tobs
    Tobs is the abbreviated name of the Wilson Tobs, a collegiate summer baseball team based in Wilson, North Carolina.
  • C. TAB
    TAB is the abbreviation for the United Nations Technical Assistance Board, a UN body historically responsible for coordinating technical aid and development assistance to member countries.
  • D. TAB
    TAB is the IATA airport code for A.N.R. Robinson International Airport, the main international gateway to the island of Tobago in Trinidad and Tobago.
  • E. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • 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: TABSO
Triple: [Balkan Bulgarian Airlines, predecessor, TABSO]
Generated description
TABSO was the former national airline of Bulgaria that operated during the socialist era before being reorganized into Balkan Bulgarian Airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TABSO
Target entity description: TABSO was the former national airline of Bulgaria that operated during the socialist era before being reorganized into Balkan Bulgarian Airlines.
  • A. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • B. Tobs
    Tobs is the abbreviated name of the Wilson Tobs, a collegiate summer baseball team based in Wilson, North Carolina.
  • C. TAB
    TAB is the IATA airport code for A.N.R. Robinson International Airport, the main international gateway to the island of Tobago in Trinidad and Tobago.
  • D. TAB
    TAB is the abbreviation for the United Nations Technical Assistance Board, a UN body historically responsible for coordinating technical aid and development assistance to member countries.
  • E. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6db8b74e08190919245104ac7ebd9 completed May 3, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc4db1e0819082f1b7e196e7f0c0 completed May 3, 2026, 5:25 a.m.
Created at: April 9, 2026, 9:02 p.m.