Triple

T1916103
Position Surface form Disambiguated ID Type / Status
Subject Nagaland E40020 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Sema Naga
Sema Naga are an indigenous Naga ethnic community of northeastern India known for their distinct language, rich warrior traditions, and vibrant festivals.
 E216388 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: Sema Naga | Statement: [Nagaland, hasEthnicGroup, Sema Naga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sema Naga
Context triple: [Nagaland, hasEthnicGroup, Sema Naga]
  • A. Seeman
    Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • B. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • C. Sana
    Sana is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," playing a role in the protagonist’s turbulent, psychologically driven narrative.
  • D. Seini
    Seini is a small town in northwestern Romania, known for its industrial activities and location near the Lăpuș River in Maramureș County.
  • E. Sena
    Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • 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: Sema Naga
Triple: [Nagaland, hasEthnicGroup, Sema Naga]
Generated description
Sema Naga are an indigenous Naga ethnic community of northeastern India known for their distinct language, rich warrior traditions, and vibrant festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sema Naga
Target entity description: Sema Naga are an indigenous Naga ethnic community of northeastern India known for their distinct language, rich warrior traditions, and vibrant festivals.
  • A. Seeman
    Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
  • B. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • C. Sana
    Sana is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," playing a role in the protagonist’s turbulent, psychologically driven narrative.
  • D. Seini
    Seini is a small town in northwestern Romania, known for its industrial activities and location near the Lăpuș River in Maramureș County.
  • E. Sena
    Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3da81308190a49844a8ac2997da completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5d259488190ad105f0083577ecc completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6264d148190be0daef2be7f920d completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:35 p.m.