Triple

T38661712
Position Surface form Disambiguated ID Type / Status
Subject Khalkha Mongols E940350 entity
Predicate subdividedInto P747 FINISHED
Object Western Khalkha
Western Khalkha is a regional subgroup of the Khalkha Mongols traditionally inhabiting the western part of Mongolia and sharing the broader Khalkha Mongol cultural and linguistic heritage.
E940350 NE FINISHED

How this triple was built (2 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: Western Khalkha | Statement: [Khalkha Mongols, subdividedInto, Western Khalkha]
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: Western Khalkha
Triple: [Khalkha Mongols, subdividedInto, Western Khalkha]
Generated description
Western Khalkha is a regional subgroup of the Khalkha Mongols traditionally inhabiting the western part of Mongolia and sharing the broader Khalkha Mongol cultural and linguistic heritage.

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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdbee6c088190adc2bb0d81bdb254 completed May 7, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a420e025bf8819098ee83e1b2e6a3f1 completed June 29, 2026, 6:17 a.m.
NEDg Description generation batch_6a420ebf2264819096d601f0fedaf701 completed June 29, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a420f4106fc819089d72df446df93a2 completed June 29, 2026, 6:22 a.m.
Created at: May 3, 2026, 4:33 p.m.