Triple

T19277373
Position Surface form Disambiguated ID Type / Status
Subject Centuripe E482091 entity
Predicate ancientName P2834 FINISHED
Object Kentoripa
Kentoripa is the ancient name of Centuripe, a historic town in Sicily known for its Hellenistic and Roman archaeological remains.
E1367665 NE FINISHED

How this triple was built (4 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: Kentoripa | Statement: [Centuripe, ancientName, Kentoripa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kentoripa
Context triple: [Centuripe, ancientName, Kentoripa]
  • A. Takkaze
    Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
  • B. Norikura
    Norikura is a ski resort area in Japan’s Hakuba Valley, known for its scenic alpine terrain and winter sports opportunities.
  • C. Ōtorii
    Ōtorii is the large, prominent Shinto shrine gate that serves as a symbolic entrance to Tsurugaoka Hachimangū in Kamakura, Japan.
  • D. Shiota
    Shiota is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Kengo Kora
    Kengo Kora is a Japanese actor known for his roles in contemporary Japanese cinema and television dramas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Kentoripa
Triple: [Centuripe, ancientName, Kentoripa]
Generated description
Kentoripa is the ancient name of Centuripe, a historic town in Sicily known for its Hellenistic and Roman archaeological remains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kentoripa
Target entity description: Kentoripa is the ancient name of Centuripe, a historic town in Sicily known for its Hellenistic and Roman archaeological remains.
  • A. Takkaze
    Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
  • B. Norikura
    Norikura is a ski resort area in Japan’s Hakuba Valley, known for its scenic alpine terrain and winter sports opportunities.
  • C. Ōtorii
    Ōtorii is the large, prominent Shinto shrine gate that serves as a symbolic entrance to Tsurugaoka Hachimangū in Kamakura, Japan.
  • D. Shiota
    Shiota is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Kengo Kora
    Kengo Kora is a Japanese actor known for his roles in contemporary Japanese cinema and television dramas.
  • F. None of above. chosen

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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbd5f34819086535f28fd880411 completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e76ab148190a628c64aa5922f01 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f1618d88190ad62c1c3896dba6e completed May 15, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a070fe766d081909453b1f8563817e8 completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:30 p.m.