Triple

T8868703
Position Surface form Disambiguated ID Type / Status
Subject Republic of Niger E211087 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object NER
NER is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of Niger.
 E763017 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: NER | Statement: [Republic of Niger, ISO3166-1Alpha3, NER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NER
Context triple: [Republic of Niger, ISO3166-1Alpha3, NER]
  • A. NER
    NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
  • B. NEL
    NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
  • C. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • D. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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: NER
Triple: [Republic of Niger, ISO3166-1Alpha3, NER]
Generated description
NER is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of Niger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NER
Target entity description: NER is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of Niger.
  • A. NER
    NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
  • B. NEL
    NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
  • C. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • D. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0e247c88190a97c00ce20f9c1c1 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1fb68c0819088cfe57441c75087 completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:51 p.m.