Triple

T11555624
Position Surface form Disambiguated ID Type / Status
Subject Nana Addo Dankwa Akufo-Addo E274011 entity
Predicate givenName P17 FINISHED
Object Addo
Addo is a given name most notably associated with Nana Addo Dankwa Akufo-Addo, the President of Ghana.
E932877 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: Addo | Statement: [Nana Addo Dankwa Akufo-Addo, givenName, Addo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addo
Context triple: [Nana Addo Dankwa Akufo-Addo, givenName, Addo]
  • A. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • B. Kommetjie
    Kommetjie is a small coastal village on South Africa’s Cape Peninsula known for its surf breaks, long white beaches, and relaxed seaside atmosphere.
  • C. Bela-Bela
    Bela-Bela is a South African town in Limpopo Province known for its natural hot mineral springs and tourism-focused resorts.
  • D. Nakonde
    Nakonde is a town in northeastern Zambia near the border with Tanzania, serving as a key border crossing and trade hub between the two countries.
  • E. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • 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: Addo
Triple: [Nana Addo Dankwa Akufo-Addo, givenName, Addo]
Generated description
Addo is a given name most notably associated with Nana Addo Dankwa Akufo-Addo, the President of Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Addo
Target entity description: Addo is a given name most notably associated with Nana Addo Dankwa Akufo-Addo, the President of Ghana.
  • A. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • B. Kommetjie
    Kommetjie is a small coastal village on South Africa’s Cape Peninsula known for its surf breaks, long white beaches, and relaxed seaside atmosphere.
  • C. Bela-Bela
    Bela-Bela is a South African town in Limpopo Province known for its natural hot mineral springs and tourism-focused resorts.
  • D. Nakonde
    Nakonde is a town in northeastern Zambia near the border with Tanzania, serving as a key border crossing and trade hub between the two countries.
  • E. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a86be308190973fea5d7db8ba9d completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e865c3008190bc2f04a1048f2fed completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.