Triple

T17081573
Position Surface form Disambiguated ID Type / Status
Subject Svatopluk I E414481 entity
Predicate nameInLatin P3646 FINISHED
Object Zuentepulc
Zuentepulc is the Latinized name of Svatopluk I, the 9th-century ruler of Great Moravia.
E1250222 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: Zuentepulc | Statement: [Svatopluk I, nameInLatin, Zuentepulc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuentepulc
Context triple: [Svatopluk I, nameInLatin, Zuentepulc]
  • A. Horcón
    Horcón is a small rural village in Chile’s Elqui Valley, known for its scenic Andean surroundings and traditional agricultural lifestyle.
  • B. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • C. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • D. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • E. Alpuri
    Alpuri is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and commercial hub of Shangla District.
  • 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: Zuentepulc
Triple: [Svatopluk I, nameInLatin, Zuentepulc]
Generated description
Zuentepulc is the Latinized name of Svatopluk I, the 9th-century ruler of Great Moravia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zuentepulc
Target entity description: Zuentepulc is the Latinized name of Svatopluk I, the 9th-century ruler of Great Moravia.
  • A. Horcón
    Horcón is a small rural village in Chile’s Elqui Valley, known for its scenic Andean surroundings and traditional agricultural lifestyle.
  • B. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • C. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • D. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • E. Alpuri
    Alpuri is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and commercial hub of Shangla District.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe2fe7c819099ab0586b1a119f6 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee416c4819087e7ae0ead47867a completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01323dd9188190981d6994a8d1a89e completed May 11, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0136310e808190a0d350ae7f216d93 completed May 11, 2026, 1:51 a.m.
Created at: April 10, 2026, 5:34 a.m.