Triple

T16567790
Position Surface form Disambiguated ID Type / Status
Subject Masa E402506 entity
Predicate hasAlternativeName P39 FINISHED
Object Masana
Masana is an alternative name for Masa, which may refer to various people, places, or cultural terms depending on context.
 E1225066 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: Masana | Statement: [Masa, hasAlternativeName, Masana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masana
Context triple: [Masa, hasAlternativeName, Masana]
  • A. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • B. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • C. Masatake
    Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
  • D. Metinaro
    Metinaro is a coastal town in northern Timor-Leste that hosts key military facilities and serves as an important strategic site for the country's defense forces.
  • E. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • 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: Masana
Triple: [Masa, hasAlternativeName, Masana]
Generated description
Masana is an alternative name for Masa, which may refer to various people, places, or cultural terms depending on context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masana
Target entity description: Masana is an alternative name for Masa, which may refer to various people, places, or cultural terms depending on context.
  • A. Sonamura
    Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
  • B. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • C. Masatake
    Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
  • D. Metinaro
    Metinaro is a coastal town in northern Timor-Leste that hosts key military facilities and serves as an important strategic site for the country's defense forces.
  • E. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da4b60c8190a682d20aa881792c completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a00805a84388190ac989129745e8234 completed May 10, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0080abae0c81908c827dced1b56aa6 completed May 10, 2026, 12:57 p.m.
Created at: April 10, 2026, 5:16 a.m.