Triple

T10489669
Position Surface form Disambiguated ID Type / Status
Subject Sheka Zone E247381 entity
Predicate capital P234 FINISHED
Object Masha
Masha is a town in southwestern Ethiopia that serves as an administrative and commercial center in the Sheka Zone.
 E867099 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: Masha | Statement: [Sheka Zone, capital, Masha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masha
Context triple: [Sheka Zone, capital, Masha]
  • A. Masha
    Masha is a diminutive and affectionate Russian form of the given name Mary (Maria).
  • B. Malvina
    Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
  • C. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • D. Sashenka
    Sashenka is a Russian diminutive form of the given name Aleksandr (Alexander), often used as an affectionate nickname.
  • E. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • 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: Masha
Triple: [Sheka Zone, capital, Masha]
Generated description
Masha is a town in southwestern Ethiopia that serves as an administrative and commercial center in the Sheka Zone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masha
Target entity description: Masha is a town in southwestern Ethiopia that serves as an administrative and commercial center in the Sheka Zone.
  • A. Masha
    Masha is a diminutive and affectionate Russian form of the given name Mary (Maria).
  • B. Malvina
    Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
  • C. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • D. Sashenka
    Sashenka is a Russian diminutive form of the given name Aleksandr (Alexander), often used as an affectionate nickname.
  • E. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.