Triple

T2549279
Position Surface form Disambiguated ID Type / Status
Subject Svenska Akademiens ordlista E57980 entity
Predicate shortName P43 FINISHED
Object SAOL
SAOL is the authoritative Swedish language dictionary published by the Swedish Academy, providing standardized spellings and basic information on modern Swedish words.
E276527 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: SAOL | Statement: [Svenska Akademiens ordlista, shortName, SAOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAOL
Context triple: [Svenska Akademiens ordlista, shortName, SAOL]
  • A. SAU
    SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. SA1
    SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • D. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • E. SA+P
    SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
  • 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: SAOL
Triple: [Svenska Akademiens ordlista, shortName, SAOL]
Generated description
SAOL is the authoritative Swedish language dictionary published by the Swedish Academy, providing standardized spellings and basic information on modern Swedish words.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAOL
Target entity description: SAOL is the authoritative Swedish language dictionary published by the Swedish Academy, providing standardized spellings and basic information on modern Swedish words.
  • A. SAU
    SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. SA1
    SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
  • D. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • E. SA+P
    SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e7cd4c8190a52cbbf1229441a6 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d114964819092b847c701a0704e completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5db1c290819099d88815ebe97c1b completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e2cd2588190bc24c3cdd350fa70 completed March 9, 2026, 11:56 p.m.
Created at: March 6, 2026, 9:47 p.m.