Triple

T31324359
Position Surface form Disambiguated ID Type / Status
Subject French frigate Méduse E798840 entity
Predicate shipClass P3141 FINISHED
Object Pallas-class frigate
The Pallas-class frigate was a class of early 19th-century French sailing warships, typically armed with around 40 guns and used for cruising, escort, and patrol duties during the Napoleonic era.
 E1958457 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: Pallas-class frigate | Statement: [French frigate Méduse, shipClass, Pallas-class frigate]
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: Pallas-class frigate
Triple: [French frigate Méduse, shipClass, Pallas-class frigate]
Generated description
The Pallas-class frigate was a class of early 19th-century French sailing warships, typically armed with around 40 guns and used for cruising, escort, and patrol duties during the Napoleonic era.

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_69f224e3238c8190b2291f50ea4962cd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69eb008808190bdf42de72d202baf completed May 3, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a720d100c8190b74f17e6cf272013 completed June 11, 2026, 8:30 a.m.
NEDg Description generation batch_6a2a7428635c8190895641dd5f7a55ad completed June 11, 2026, 8:39 a.m.
NED2 Entity disambiguation (via description) batch_6a2a8e84f5c081908c01c1229c2a3615 completed June 11, 2026, 10:31 a.m.
Created at: April 29, 2026, 9:15 p.m.