Triple

T1961278
Position Surface form Disambiguated ID Type / Status
Subject Yama E42391 entity
Predicate otherName P39 FINISHED
Object Samana
Samana is a term in Indian religious traditions referring to an ascetic or wandering mendicant devoted to spiritual discipline and renunciation.
E218798 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: Samana | Statement: [Yama, otherName, Samana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samana
Context triple: [Yama, otherName, Samana]
  • A. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • B. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • C. Yaiza
    Yaiza is a coastal municipality on the Spanish island of Lanzarote in the Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • D. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • E. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • 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: Samana
Triple: [Yama, otherName, Samana]
Generated description
Samana is a term in Indian religious traditions referring to an ascetic or wandering mendicant devoted to spiritual discipline and renunciation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samana
Target entity description: Samana is a term in Indian religious traditions referring to an ascetic or wandering mendicant devoted to spiritual discipline and renunciation.
  • A. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • B. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • C. Yaiza
    Yaiza is a coastal municipality on the Spanish island of Lanzarote in the Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • D. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • E. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb380bfc08190ae80f8e6570494b8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.