Triple

T17262426
Position Surface form Disambiguated ID Type / Status
Subject Yi people E419038 entity
Predicate autonym P1435 FINISHED
Object Nisu
Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
 E1260952 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: Nisu | Statement: [Yi people, autonym, Nisu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nisu
Context triple: [Yi people, autonym, Nisu]
  • A. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • B. Yussois
    Yussois is the French demonym for inhabitants of the town of Yutz in northeastern France.
  • C. Njeru
    Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • 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: Nisu
Triple: [Yi people, autonym, Nisu]
Generated description
Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nisu
Target entity description: Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
  • A. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • B. Yussois
    Yussois is the French demonym for inhabitants of the town of Yutz in northeastern France.
  • C. Njeru
    Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179445cac8190833eb7cd879a93bd completed May 11, 2026, 6:37 a.m.
NEDg Description generation batch_6a017d19ade481908cdc0a74d9766078 completed May 11, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a017d9c93a48190a13b78c5f9f71571 completed May 11, 2026, 6:56 a.m.
Created at: April 10, 2026, 5:40 a.m.