Triple

T14817889
Position Surface form Disambiguated ID Type / Status
Subject Taveiro station E348365 entity
Predicate hasStationCode P1289 FINISHED
Object CB
CB is the station code used to identify Taveiro railway station in Portugal’s rail network.
 E1122562 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: CB | Statement: [Taveiro station, hasStationCode, CB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CB
Context triple: [Taveiro station, hasStationCode, CB]
  • A. CB
    CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
  • B. CB
    CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
  • C. CB
    CB is the vehicle registration code used on license plates for the German city of Cottbus.
  • D. CB
    CB is a common abbreviation for Code::Blocks, a free, open-source, cross-platform integrated development environment (IDE) primarily used for C, C++, and Fortran programming.
  • E. CB
    CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
  • 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: CB
Triple: [Taveiro station, hasStationCode, CB]
Generated description
CB is the station code used to identify Taveiro railway station in Portugal’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CB
Target entity description: CB is the station code used to identify Taveiro railway station in Portugal’s rail network.
  • A. CB
    CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
  • B. CB
    CB is the vehicle registration code used for cars registered in the Czech city of České Budějovice.
  • C. CB
    CB is the vehicle registration code used on license plates for the German city of Cottbus.
  • D. CB
    CB is a common abbreviation for Code::Blocks, a free, open-source, cross-platform integrated development environment (IDE) primarily used for C, C++, and Fortran programming.
  • E. CB
    CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe3897691c819085ef89480e730723 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5178e8b481909c88ee7db29f037c completed May 8, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fe5217512c8190b0cea476f4b95007 completed May 8, 2026, 9:13 p.m.
Created at: April 10, 2026, 1:50 a.m.