Triple

T4474084
Position Surface form Disambiguated ID Type / Status
Subject Náchod E98563 entity
Predicate hasSubdivision P747 FINISHED
Object Lipí
Lipí is a small locality or village that forms part of the administrative area of the town of Náchod in the Hradec Králové Region of the Czech Republic.
 E441694 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: Lipí | Statement: [Náchod, hasSubdivision, Lipí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lipí
Context triple: [Náchod, hasSubdivision, Lipí]
  • A. Lipikar
    Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
  • B. Lipanal
    Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
  • C. Lipski
    Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
  • D. Libuše
    Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • E. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • 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: Lipí
Triple: [Náchod, hasSubdivision, Lipí]
Generated description
Lipí is a small locality or village that forms part of the administrative area of the town of Náchod in the Hradec Králové Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lipí
Target entity description: Lipí is a small locality or village that forms part of the administrative area of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • A. Lipikar
    Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
  • B. Lipanal
    Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
  • C. Lipski
    Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
  • D. Libuše
    Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
  • E. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356bb03f48190a2addcd49c9e470d completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6287f076081909bca3643ac489fcf completed March 15, 2026, 3:33 a.m.
NEDg Description generation batch_69b6295721d881908d49ce1944e0ed17 completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62a3e9d1c8190a613726d45622406 completed March 15, 2026, 3:40 a.m.
Created at: March 12, 2026, 11:35 p.m.