Triple

T8798828
Position Surface form Disambiguated ID Type / Status
Subject Tudigong E209349 entity
Predicate relatedDeity P23286 FINISHED
Object Houtu
Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
 E759819 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: Houtu | Statement: [Tudigong, relatedDeity, Houtu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Houtu
Context triple: [Tudigong, relatedDeity, Houtu]
  • A. Hatta
    Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
  • B. Hulontalo
    Hulontalo is an alternative name for the Gorontalo language, an Austronesian language spoken primarily in the Gorontalo region of northern Sulawesi, Indonesia.
  • C. Hagonoy
    Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
  • D. Kallio
    Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
  • E. Eteläranta
    Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
  • 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: Houtu
Triple: [Tudigong, relatedDeity, Houtu]
Generated description
Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Houtu
Target entity description: Houtu is an important earth and fertility deity in Chinese mythology, often revered as a powerful ancestral mother figure associated with the land and its protection.
  • A. Hatta
    Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
  • B. Hulontalo
    Hulontalo is an alternative name for the Gorontalo language, an Austronesian language spoken primarily in the Gorontalo region of northern Sulawesi, Indonesia.
  • C. Hagonoy
    Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
  • D. Kallio
    Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
  • E. Eteläranta
    Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa50dd081908fa5e4ffa70342e2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f658f248190957eba821b07cc4f completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf713a184c8190b1fa788fd3ba8304 completed April 3, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69cf71d3517c819088c930ed468c4e8e completed April 3, 2026, 7:52 a.m.
Created at: March 30, 2026, 6:44 p.m.