Triple

T32208405
Position Surface form Disambiguated ID Type / Status
Subject term Gypsy E822731 entity
Predicate preferredAlternative P60489 FINISHED
Object Roma
Roma are a traditionally itinerant ethnic group of Indian origin now living primarily in Europe, known for their distinct culture, language varieties (Romani), and history of marginalization and persecution.
E1507 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: Roma | Statement: [term Gypsy, preferredAlternative, Roma]
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: Roma
Triple: [term Gypsy, preferredAlternative, Roma]
Generated description
Roma are a traditionally itinerant ethnic group of Indian origin now living primarily in Europe, known for their distinct culture, language varieties (Romani), and history of marginalization and persecution.

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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb90bb908190a7b01f36dc123cf1 completed May 3, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e88ada5081908dc960740821ba0b completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9fc4d988190bebe1f53e43dc08c completed June 18, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_6a341ee589688190b72cbf554edae693 completed June 18, 2026, 4:37 p.m.
Created at: May 1, 2026, 12:37 a.m.