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.