Triple

T31190267
Position Surface form Disambiguated ID Type / Status
Subject SMS Szent István E795158 entity
Predicate builder P3143 FINISHED
Object Ganz & Co.–Danubius Shipyard
Ganz & Co.–Danubius Shipyard was a major Austro-Hungarian shipbuilding company known for constructing large naval vessels, including dreadnought battleships, for the Austro-Hungarian Navy.
 E1951927 NE FINISHED

How this triple was built (2 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: Ganz & Co.–Danubius Shipyard | Statement: [SMS Szent István, builder, Ganz & Co.–Danubius Shipyard]
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: Ganz & Co.–Danubius Shipyard
Triple: [SMS Szent István, builder, Ganz & Co.–Danubius Shipyard]
Generated description
Ganz & Co.–Danubius Shipyard was a major Austro-Hungarian shipbuilding company known for constructing large naval vessels, including dreadnought battleships, for the Austro-Hungarian Navy.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69914ed14819097b41f31cf0392b2 completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a295915e7cc81908efb6a37d9ce871a completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a2959a8c0708190b8cf96f13be2bd37 completed June 10, 2026, 12:33 p.m.
NED2 Entity disambiguation (via description) batch_6a295d91f59c819096a9baa006e93830 completed June 10, 2026, 12:50 p.m.
Created at: April 29, 2026, 9:08 p.m.