Triple

T1225299
Position Surface form Disambiguated ID Type / Status
Subject Sierra Leone E26313 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object SLE
SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
 E140673 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: SLE | Statement: [Sierra Leone, ISO3166-1Alpha3, SLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLE
Context triple: [Sierra Leone, ISO3166-1Alpha3, SLE]
  • A. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • B. Hashimoto
    Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
  • C. Wegener's granulomatosis
    Wegener's granulomatosis, now more commonly called granulomatosis with polyangiitis, is a rare autoimmune disease characterized by inflammation of blood vessels that can damage organs such as the lungs, kidneys, and upper respiratory tract.
  • D. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • E. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • 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: SLE
Triple: [Sierra Leone, ISO3166-1Alpha3, SLE]
Generated description
SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLE
Target entity description: SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • A. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • B. Hashimoto
    Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
  • C. Wegener's granulomatosis
    Wegener's granulomatosis, now more commonly called granulomatosis with polyangiitis, is a rare autoimmune disease characterized by inflammation of blood vessels that can damage organs such as the lungs, kidneys, and upper respiratory tract.
  • D. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • E. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be382c4081909238c18b805352a7 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0fcf508190be3668bd55f6f6d6 completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8ab214c48190a60c6604a67f9cf2 completed March 7, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b0db83c81909db3c501a435f1d1 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:47 p.m.