Triple

T15560005
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A28 E370970 entity
Predicate hasAbbreviation P43 FINISHED
Object BAB 28
BAB 28 is a German federal motorway (Autobahn) in northwestern Germany that connects the cities of Leer, Oldenburg, and Bremen.
E1163450 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: BAB 28 | Statement: [Autobahn A28, hasAbbreviation, BAB 28]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAB 28
Context triple: [Autobahn A28, hasAbbreviation, BAB 28]
  • A. BABA
    BABA is the stock ticker for Alibaba Group Holding Limited, a leading Chinese multinational technology company specializing in e-commerce, cloud computing, digital media, and related services.
  • B. Sada Baby
    Sada Baby is an American rapper from Detroit known for his energetic delivery, playful ad-libs, and breakout hits like "Whole Lotta Choppas."
  • C. Budak
    Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
  • D. Barebuka
    Barebuka is a small village settlement located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • E. 2Baba
    2Baba is a pioneering Nigerian singer, songwriter, and record producer widely regarded as one of Africa’s most influential Afrobeats and contemporary music artists.
  • 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: BAB 28
Triple: [Autobahn A28, hasAbbreviation, BAB 28]
Generated description
BAB 28 is a German federal motorway (Autobahn) in northwestern Germany that connects the cities of Leer, Oldenburg, and Bremen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BAB 28
Target entity description: BAB 28 is a German federal motorway (Autobahn) in northwestern Germany that connects the cities of Leer, Oldenburg, and Bremen.
  • A. BABA
    BABA is the stock ticker for Alibaba Group Holding Limited, a leading Chinese multinational technology company specializing in e-commerce, cloud computing, digital media, and related services.
  • B. Sada Baby
    Sada Baby is an American rapper from Detroit known for his energetic delivery, playful ad-libs, and breakout hits like "Whole Lotta Choppas."
  • C. Budak
    Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
  • D. Barebuka
    Barebuka is a small village settlement located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • E. 2Baba
    2Baba is a pioneering Nigerian singer, songwriter, and record producer widely regarded as one of Africa’s most influential Afrobeats and contemporary music artists.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff46f44b2c81909f65f0ab455c6549 completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff477a63b48190a453cf669dfda228 completed May 9, 2026, 2:40 p.m.
Created at: April 10, 2026, 4:09 a.m.