Triple

T9785585
Position Surface form Disambiguated ID Type / Status
Subject Limbu E237483 entity
Predicate traditionalTerritory P1103 FINISHED
Object Pallo Kirat
Pallo Kirat is a hilly eastern region of Nepal traditionally inhabited and culturally shaped by the Limbu ethnic community.
 E820735 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: Pallo Kirat | Statement: [Limbu, traditionalTerritory, Pallo Kirat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pallo Kirat
Context triple: [Limbu, traditionalTerritory, Pallo Kirat]
  • A. Nez Khammal
    Nez Khammal is a British music video director known for his visually distinctive work with prominent hip-hop and pop artists.
  • B. Kartar
    Kartar is a given name most notably associated with Kartar Singh Sarabha, a prominent Indian revolutionary in the Ghadar Movement against British rule.
  • C. Karamlesh
    Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
  • D. Shelkar
    Shelkar is a town in Tibet that serves as the administrative and historical center of Tingri County, known as a gateway to the Mount Everest region.
  • E. Balakumaran
    Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
  • 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: Pallo Kirat
Triple: [Limbu, traditionalTerritory, Pallo Kirat]
Generated description
Pallo Kirat is a hilly eastern region of Nepal traditionally inhabited and culturally shaped by the Limbu ethnic community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pallo Kirat
Target entity description: Pallo Kirat is a hilly eastern region of Nepal traditionally inhabited and culturally shaped by the Limbu ethnic community.
  • A. Nez Khammal
    Nez Khammal is a British music video director known for his visually distinctive work with prominent hip-hop and pop artists.
  • B. Kartar
    Kartar is a given name most notably associated with Kartar Singh Sarabha, a prominent Indian revolutionary in the Ghadar Movement against British rule.
  • C. Karamlesh
    Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
  • D. Shelkar
    Shelkar is a town in Tibet that serves as the administrative and historical center of Tingri County, known as a gateway to the Mount Everest region.
  • E. Balakumaran
    Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c477c9c48190b08f4871955d4450 completed April 5, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69d1c520d3988190b7735f6d16e78ab5 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:27 p.m.