Triple

T17137826
Position Surface form Disambiguated ID Type / Status
Subject Nisga’a language E415885 entity
Predicate hasAlternativeName P39 FINISHED
Object Nisgha
Nisgha is an alternate name for the Nisga’a language, an indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
E1254041 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: Nisgha | Statement: [Nisga’a language, hasAlternativeName, Nisgha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisgha
Context triple: [Nisga’a language, hasAlternativeName, Nisgha]
  • A. Nishani
    Nishani is an Albanian surname most notably borne by Bujar Nishani, a former President of Albania.
  • B. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • C. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • D. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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: Nisgha
Triple: [Nisga’a language, hasAlternativeName, Nisgha]
Generated description
Nisgha is an alternate name for the Nisga’a language, an indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nisgha
Target entity description: Nisgha is an alternate name for the Nisga’a language, an indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
  • A. Nishani
    Nishani is an Albanian surname most notably borne by Bujar Nishani, a former President of Albania.
  • B. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • C. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • D. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d0628081908e0160290041fe89 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482cd918819082d18b3cb76394cb completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a01498352648190a28be189af2263ea completed May 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a014a3e36588190b15fa0fe958e2d9e completed May 11, 2026, 3:17 a.m.
Created at: April 10, 2026, 5:36 a.m.