Triple

T14673786
Position Surface form Disambiguated ID Type / Status
Subject Toffia E344583 entity
Predicate partOf P40 FINISHED
Object Sabina region E468092 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: Sabina region | Statement: [Toffia, partOf, Sabina region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabina region
Context triple: [Toffia, partOf, Sabina region]
  • A. Sabina region chosen
    The Sabina region is a historic and rural area of central Italy, characterized by rolling hills, olive groves, and ancient towns between Rome and the Apennine Mountains.
  • B. Adagh region
    The Adagh region is a mountainous area in northeastern Mali, forming part of the Sahara Desert and traditionally inhabited by Tuareg communities.
  • C. Sutsilvan region
    The Sutsilvan region is a traditional Romansh-speaking area in the Swiss canton of Graubünden, known for its distinct Sutsilvan dialect and cultural heritage.
  • D. Bahdinan region
    The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
  • E. Penal–Debe region
    The Penal–Debe region is an administrative area in southern Trinidad and Tobago known for its predominantly Indo-Trinidadian population, agricultural activities, and growing suburban communities.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb55064cc8190b9669d0b2da61825 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cde041081908ae2f2c75a9d5eb2 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:27 a.m.