Triple

T22188706
Position Surface form Disambiguated ID Type / Status
Subject Girls at War and Other Stories E548360 entity
Predicate containsWork P2011 FINISHED
Object Akueke
"Akueke" is a short story by Nigerian author Chinua Achebe, included in his collection *Girls at War and Other Stories*, that explores themes of tradition, gender, and cultural change.
E1524219 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: Akueke | Statement: [Girls at War and Other Stories, containsWork, Akueke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akueke
Context triple: [Girls at War and Other Stories, containsWork, Akueke]
  • A. Ake
    Ake is a district in Abeokuta, Nigeria, historically known as a traditional center of Egba leadership and culture.
  • B. Okuku
    Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
  • C. Odake
    Odake is the tallest summit of Japan’s Hakkoda Mountains, a volcanic range in Aomori Prefecture known for heavy snowfall and scenic hiking.
  • D. Akuku
    Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
  • E. Ayeka
    Ayeka is a prominent town in Nigeria’s Ondo State, recognized as one of the key communities of the Ikale 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: Akueke
Triple: [Girls at War and Other Stories, containsWork, Akueke]
Generated description
"Akueke" is a short story by Nigerian author Chinua Achebe, included in his collection *Girls at War and Other Stories*, that explores themes of tradition, gender, and cultural change.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akueke
Target entity description: "Akueke" is a short story by Nigerian author Chinua Achebe, included in his collection *Girls at War and Other Stories*, that explores themes of tradition, gender, and cultural change.
  • A. Ake
    Ake is a district in Abeokuta, Nigeria, historically known as a traditional center of Egba leadership and culture.
  • B. Okuku
    Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
  • C. Odake
    Odake is the tallest summit of Japan’s Hakkoda Mountains, a volcanic range in Aomori Prefecture known for heavy snowfall and scenic hiking.
  • D. Akuku
    Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
  • E. Ayeka
    Ayeka is a prominent town in Nigeria’s Ondo State, recognized as one of the key communities of the Ikale 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aab3d2c81908a3b5a5c127c4aac completed April 28, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa60a4de88190bd4a7902e9d4c0b8 completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa6d1f634819082d1edd70217b70c completed May 18, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa7879e048190bd4b8e7f7cfbaec4 completed May 18, 2026, 5:45 a.m.
Created at: April 16, 2026, 8:35 p.m.