Triple

T10258711
Position Surface form Disambiguated ID Type / Status
Subject GW (Gesamtkatalog der Wiegendrucke) E240539 entity
Predicate abbreviation P43 FINISHED
Object GW
GW (Gesamtkatalog der Wiegendrucke) is a comprehensive scholarly catalog of incunabula, documenting books printed in Europe before 1501.
 E851610 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: GW | Statement: [GW (Gesamtkatalog der Wiegendrucke), abbreviation, GW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GW
Context triple: [GW (Gesamtkatalog der Wiegendrucke), abbreviation, GW]
  • A. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • E. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • 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: GW
Triple: [GW (Gesamtkatalog der Wiegendrucke), abbreviation, GW]
Generated description
GW (Gesamtkatalog der Wiegendrucke) is a comprehensive scholarly catalog of incunabula, documenting books printed in Europe before 1501.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GW
Target entity description: GW (Gesamtkatalog der Wiegendrucke) is a comprehensive scholarly catalog of incunabula, documenting books printed in Europe before 1501.
  • A. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • E. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24e94e08190ad2b9733bf621fe4 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e9a9d48190865f047750d7bc6c completed April 9, 2026, 12:50 a.m.
NEDg Description generation batch_69d6fcabb5a08190a26c068163f48878 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd7212b88190b410b8e1cc6f56fd completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:31 a.m.