Triple

T14797305
Position Surface form Disambiguated ID Type / Status
Subject Wassa E347813 entity
Predicate neighboringPolity P11274 FINISHED
Object Aowin
Aowin was a historical Akan state in what is now southwestern Ghana, known for its role in regional trade and interactions with neighboring polities.
 E1121139 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: Aowin | Statement: [Wassa, neighboringPolity, Aowin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aowin
Context triple: [Wassa, neighboringPolity, Aowin]
  • A. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • B. Aozou
    Aozou is a small, remote settlement in northern Chad, historically associated with the disputed Aozou Strip along the Chadian–Libyan border.
  • C. Oizys
    Oizys is the Greek personification of misery, distress, and wretchedness, traditionally regarded as a dark and sorrowful deity.
  • D. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • E. Arwi
    Arwi is an Arabic-influenced written form of the Tamil language historically used by Sri Lankan Moors, especially for religious and literary purposes.
  • 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: Aowin
Triple: [Wassa, neighboringPolity, Aowin]
Generated description
Aowin was a historical Akan state in what is now southwestern Ghana, known for its role in regional trade and interactions with neighboring polities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aowin
Target entity description: Aowin was a historical Akan state in what is now southwestern Ghana, known for its role in regional trade and interactions with neighboring polities.
  • A. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • B. Aozou
    Aozou is a small, remote settlement in northern Chad, historically associated with the disputed Aozou Strip along the Chadian–Libyan border.
  • C. Oizys
    Oizys is the Greek personification of misery, distress, and wretchedness, traditionally regarded as a dark and sorrowful deity.
  • D. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • E. Arwi
    Arwi is an Arabic-influenced written form of the Tamil language historically used by Sri Lankan Moors, especially for religious and literary purposes.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c0beb0819081a124479a849bb6 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe2c102f8c8190b9ed567fd2946ed2 completed May 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69fe2d898ae08190be30b5a12937a6a4 completed May 8, 2026, 6:38 p.m.
Created at: April 10, 2026, 1:31 a.m.