Triple

T9851972
Position Surface form Disambiguated ID Type / Status
Subject Rromani E239489 entity
Predicate hasAlternativeName P39 FINISHED
Object Rroma E46821 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: Rroma | Statement: [Rromani, hasAlternativeName, Rroma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rroma
Context triple: [Rromani, hasAlternativeName, Rroma]
  • A. Roma people chosen
    The Roma people are a traditionally itinerant ethnic group of Indian origin now living mainly in Europe, known for their distinct language varieties, cultural practices, and history of marginalization and persecution.
  • B. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • C. Horahane Roma
    Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
  • D. Massylii
    Massylii was an ancient Berber kingdom in eastern Numidia, centered in what is now northeastern Algeria and western Tunisia, known for its skilled cavalry and role in the Punic Wars.
  • E. Romana
    Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.