Triple

T18527644
Position Surface form Disambiguated ID Type / Status
Subject Warbound E452759 entity
Predicate language P15 FINISHED
Object Sakaarian
Sakaarian is the native language spoken by the inhabitants of the planet Sakaar in the Marvel universe.
 E1331958 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: Sakaarian | Statement: [Warbound, language, Sakaarian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakaarian
Context triple: [Warbound, language, Sakaarian]
  • A. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • B. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • C. Kavar
    Kavar is a city in southern Iran known for its agricultural activities and location within Fars Province.
  • D. Sarakatsani
    The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
  • E. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • 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: Sakaarian
Triple: [Warbound, language, Sakaarian]
Generated description
Sakaarian is the native language spoken by the inhabitants of the planet Sakaar in the Marvel universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakaarian
Target entity description: Sakaarian is the native language spoken by the inhabitants of the planet Sakaar in the Marvel universe.
  • A. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • B. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • C. Kavar
    Kavar is a city in southern Iran known for its agricultural activities and location within Fars Province.
  • D. Sarakatsani
    The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
  • E. Katuic
    Katuic is a branch of the Austroasiatic language family spoken primarily in parts of Laos, Vietnam, and neighboring regions of Southeast Asia.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533f9bd1081909743b24e290b7dfe completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f87e9584819099c33521d0614168 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9122bec81908614429d65b3d0fc completed May 13, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a04fa53d96881909bebf2aaea89af0f completed May 13, 2026, 10:25 p.m.
Created at: April 10, 2026, 11:37 a.m.