Triple

T20209778
Position Surface form Disambiguated ID Type / Status
Subject Later Goguryeo E493457 entity
Predicate usedEraName P91459 FINISHED
Object Mutae
Mutae was an era name used during the Later Goguryeo period in Korean history.
E1417511 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: Mutae | Statement: [Later Goguryeo, usedEraName, Mutae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutae
Context triple: [Later Goguryeo, usedEraName, Mutae]
  • A. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Meitoku
    Meitoku was a Japanese era name (nengō) used during the late 14th century in the Muromachi period under the rule of shogun Ashikaga Yoshimitsu.
  • E. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • 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: Mutae
Triple: [Later Goguryeo, usedEraName, Mutae]
Generated description
Mutae was an era name used during the Later Goguryeo period in Korean history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mutae
Target entity description: Mutae was an era name used during the Later Goguryeo period in Korean history.
  • A. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Meitoku
    Meitoku was a Japanese era name (nengō) used during the late 14th century in the Muromachi period under the rule of shogun Ashikaga Yoshimitsu.
  • E. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed4706c81908a5e4a3023a9c22f completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843f09dc08190a9a6abc8075e1865 completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0844e1d3048190a7fc63b16a5978e8 completed May 16, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0845ae60208190a0c4a2f5eeecc346 completed May 16, 2026, 10:23 a.m.
Created at: April 11, 2026, 11:38 p.m.