Triple

T3581201
Position Surface form Disambiguated ID Type / Status
Subject Unami E75801 entity
Predicate ISO639-3Code P208 FINISHED
Object unm
unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
 E370436 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: unm | Statement: [Unami, ISO639-3Code, unm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: unm
Context triple: [Unami, ISO639-3Code, unm]
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • D. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • E. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • 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: unm
Triple: [Unami, ISO639-3Code, unm]
Generated description
unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: unm
Target entity description: unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • D. UM
    UM is a public research university in Oxford, Mississippi, commonly known as "Ole Miss" and recognized for its academic programs and SEC athletics.
  • E. UM
    UM is the stock ticker symbol for MRU, the Canadian food and pharmacy retail company Metro Inc.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc101738c81908d38987f8fa291ef completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc95fa881909846a6d53ba6a24e completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bcae84a48190b085f253773cd14f completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f90df47c81908855021f68ca7ec8 completed March 13, 2026, 11:46 a.m.
Created at: March 8, 2026, 3:21 p.m.