Triple

T32844049
Position Surface form Disambiguated ID Type / Status
Subject Sándor Petőfi E840047 entity
Predicate notableWork P4 FINISHED
Object Nemzeti dal
Nemzeti dal is a famous Hungarian patriotic poem by Sándor Petőfi that became a rallying cry of the Hungarian Revolution of 1848.
E2025563 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: Nemzeti dal | Statement: [Sándor Petőfi, notableWork, Nemzeti dal]
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: Nemzeti dal
Triple: [Sándor Petőfi, notableWork, Nemzeti dal]
Generated description
Nemzeti dal is a famous Hungarian patriotic poem by Sándor Petőfi that became a rallying cry of the Hungarian Revolution of 1848.

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_69f3493ff0888190b51e974eae2a7834 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce3777348190bf1f09462ae6cf47 completed May 3, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bd003df88190a16ddb0d65c3219f completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34bdd9563481909fc9714f2a1872df completed June 19, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_6a34bef5b65881908b336a301dc210a9 completed June 19, 2026, 4 a.m.
Created at: May 1, 2026, 1:16 a.m.