Triple

T9031836
Position Surface form Disambiguated ID Type / Status
Subject Lotha Naga E216389 entity
Predicate selfDesignation P974 FINISHED
Object Lotha
Lotha is a Naga ethnic group primarily inhabiting the Wokha district of Nagaland in Northeast India, known for its rich cultural traditions and festivals.
 E774119 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: Lotha | Statement: [Lotha Naga, selfDesignation, Lotha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lotha
Context triple: [Lotha Naga, selfDesignation, Lotha]
  • A. Andoolo
    Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • D. Yaghuth
    Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
  • E. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • 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: Lotha
Triple: [Lotha Naga, selfDesignation, Lotha]
Generated description
Lotha is a Naga ethnic group primarily inhabiting the Wokha district of Nagaland in Northeast India, known for its rich cultural traditions and festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lotha
Target entity description: Lotha is a Naga ethnic group primarily inhabiting the Wokha district of Nagaland in Northeast India, known for its rich cultural traditions and festivals.
  • A. Andoolo
    Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • D. Yaghuth
    Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
  • E. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6a9f2c7481909b4a272183f20585 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb83e8988190bf29baa1aff11ac0 completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfec4515308190be32a295619babdb completed April 3, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_69cfecdc70048190813f715153ca0f0e completed April 3, 2026, 4:37 p.m.
Created at: March 30, 2026, 7:08 p.m.