Triple

T17298968
Position Surface form Disambiguated ID Type / Status
Subject Michal Miloslav Hodža E419987 entity
Predicate notableWork P4 FINISHED
Object Matora
Matora is a significant literary work by Slovak national revivalist Michal Miloslav Hodža, reflecting his cultural and linguistic efforts in the 19th century.
 E1262283 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: Matora | Statement: [Michal Miloslav Hodža, notableWork, Matora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matora
Context triple: [Michal Miloslav Hodža, notableWork, Matora]
  • A. Katama
    Katama is a coastal area and neighborhood of Edgartown on Martha’s Vineyard, known for its expansive South Beach and open, windswept plains.
  • B. Matoto
    Matoto is a populous suburban district and key administrative commune within the capital city of Conakry, Guinea.
  • C. Omura
    Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
  • D. Sumirago
    Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
  • E. Tomia
    Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
  • 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: Matora
Triple: [Michal Miloslav Hodža, notableWork, Matora]
Generated description
Matora is a significant literary work by Slovak national revivalist Michal Miloslav Hodža, reflecting his cultural and linguistic efforts in the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matora
Target entity description: Matora is a significant literary work by Slovak national revivalist Michal Miloslav Hodža, reflecting his cultural and linguistic efforts in the 19th century.
  • A. Katama
    Katama is a coastal area and neighborhood of Edgartown on Martha’s Vineyard, known for its expansive South Beach and open, windswept plains.
  • B. Matoto
    Matoto is a populous suburban district and key administrative commune within the capital city of Conakry, Guinea.
  • C. Omura
    Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
  • D. Sumirago
    Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
  • E. Tomia
    Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f8efb481908b56172c7f749b62 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a01877483608190b311946ba05bcc94 completed May 11, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a01880bad1c8190bdce946a04714ad3 completed May 11, 2026, 7:40 a.m.
Created at: April 10, 2026, 5:41 a.m.