Triple

T4230216
Position Surface form Disambiguated ID Type / Status
Subject Egoli E94561 entity
Predicate alsoKnownAs P39 FINISHED
Object eGoli
eGoli is a common name for Johannesburg, South Africa’s largest city and economic hub, often translated as “place of gold.”
 E421634 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: eGoli | Statement: [Egoli, alsoKnownAs, eGoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: eGoli
Context triple: [Egoli, alsoKnownAs, eGoli]
  • A. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • B. Gol Gol
    Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • E. Golo
    Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
  • 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: eGoli
Triple: [Egoli, alsoKnownAs, eGoli]
Generated description
eGoli is a common name for Johannesburg, South Africa’s largest city and economic hub, often translated as “place of gold.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: eGoli
Target entity description: eGoli is a common name for Johannesburg, South Africa’s largest city and economic hub, often translated as “place of gold.”
  • A. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • B. Gol Gol
    Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • E. Golo
    Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e61ccc081909b880baf1d6a0f24 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964f364881908c53cd46af6b1e98 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b59731052881908d9358dc629a4018 completed March 14, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_69b597c529a08190bbf2af92bfef1aa2 completed March 14, 2026, 5:15 p.m.
Created at: March 12, 2026, 11:05 p.m.