Triple

T19954315
Position Surface form Disambiguated ID Type / Status
Subject Antilopinae E479642 entity
Predicate containsGenus P9413 FINISHED
Object Nanger
Nanger is a genus of African antelopes that includes several large, gazelle-like species known for their slender build and distinctive markings.
E1403582 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: Nanger | Statement: [Antilopinae, containsGenus, Nanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanger
Context triple: [Antilopinae, containsGenus, Nanger]
  • A. Nungal
    Nungal is a Mesopotamian goddess associated with prisons, justice, and the protection and rehabilitation of offenders.
  • B. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Ngandi
    Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
  • E. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • 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: Nanger
Triple: [Antilopinae, containsGenus, Nanger]
Generated description
Nanger is a genus of African antelopes that includes several large, gazelle-like species known for their slender build and distinctive markings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nanger
Target entity description: Nanger is a genus of African antelopes that includes several large, gazelle-like species known for their slender build and distinctive markings.
  • A. Nungal
    Nungal is a Mesopotamian goddess associated with prisons, justice, and the protection and rehabilitation of offenders.
  • B. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • C. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • D. Ngandi
    Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
  • E. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aef16588190b3a40a3d49ef5080 completed April 20, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6f6b3b8819095610f80c7ab94d1 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f79a4e5081908b92f3268f43fe5a completed May 16, 2026, 4:50 a.m.
NED2 Entity disambiguation (via description) batch_6a07f813ea288190825eebcc1bf705b3 completed May 16, 2026, 4:52 a.m.
Created at: April 10, 2026, 1:54 p.m.