Triple

T5513276
Position Surface form Disambiguated ID Type / Status
Subject Hollandse Beton Groep E144618 entity
Predicate abbreviation P43 FINISHED
Object HBG
HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
 E528473 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: HBG | Statement: [Hollandse Beton Groep, abbreviation, HBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HBG
Context triple: [Hollandse Beton Groep, abbreviation, HBG]
  • A. BHB
    BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
  • B. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • C. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • D. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • E. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • 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: HBG
Triple: [Hollandse Beton Groep, abbreviation, HBG]
Generated description
HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HBG
Target entity description: HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
  • A. BHB
    BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
  • B. HGF
    HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
  • C. HGF
    HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
  • D. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • E. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f599d0881909ce86fcc45d4d920 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d192808190b1e80a6f3be44870 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c033dc91e08190888fb6e94027fbdb completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c03460b21481908b78aa4bdc989d2c completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:33 p.m.