Triple

T14538279
Position Surface form Disambiguated ID Type / Status
Subject GlobalPlatform E341106 entity
Predicate hasAbbreviation P43 FINISHED
Object GP
GP is the commonly used abbreviation for GlobalPlatform, an international standards organization that defines specifications for secure digital services and devices such as smart cards and trusted execution environments.
E1103948 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: GP | Statement: [GlobalPlatform, hasAbbreviation, GP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GP
Context triple: [GlobalPlatform, hasAbbreviation, GP]
  • A. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • B. GP
    GP is the 1973 debut solo album by American singer-songwriter Gram Parsons, often hailed as a landmark recording in the development of country rock.
  • C. GP
    A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.
  • D. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • E. GW
    GW (Gesamtkatalog der Wiegendrucke) is a comprehensive scholarly catalog of incunabula, documenting books printed in Europe before 1501.
  • 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: GP
Triple: [GlobalPlatform, hasAbbreviation, GP]
Generated description
GP is the commonly used abbreviation for GlobalPlatform, an international standards organization that defines specifications for secure digital services and devices such as smart cards and trusted execution environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GP
Target entity description: GP is the commonly used abbreviation for GlobalPlatform, an international standards organization that defines specifications for secure digital services and devices such as smart cards and trusted execution environments.
  • A. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • B. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • C. GP
    GP is the 1973 debut solo album by American singer-songwriter Gram Parsons, often hailed as a landmark recording in the development of country rock.
  • D. GP
    A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.
  • E. GW
    GW (Gesamtkatalog der Wiegendrucke) is a comprehensive scholarly catalog of incunabula, documenting books printed in Europe before 1501.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bb90008190947ac0961393446d completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7b1452d48190b95187cc6b6e5b6a completed May 8, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd7b9387988190abb20ea06c04d6cc completed May 8, 2026, 5:58 a.m.
Created at: April 10, 2026, 1:22 a.m.