Triple

T7060767
Position Surface form Disambiguated ID Type / Status
Subject Béjaïa Province E164209 entity
Predicate contains P35 FINISHED
Object 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.
 E638322 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: Aokas | Statement: [Béjaïa Province, contains, Aokas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aokas
Context triple: [Béjaïa Province, contains, Aokas]
  • A. Ōiso
    Ōiso is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former political retreat.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Anao
    Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
  • D. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • 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: Aokas
Triple: [Béjaïa Province, contains, Aokas]
Generated description
Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aokas
Target entity description: Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • A. Ōiso
    Ōiso is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former political retreat.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Anao
    Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
  • D. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788af20cc819084542035410aafbd completed March 28, 2026, 7:52 a.m.
NEDg Description generation batch_69c78968b8588190b26afb5fe1a976db completed March 28, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_69c78a520b4081908b4822fb55c3dab9 completed March 28, 2026, 7:59 a.m.
Created at: March 27, 2026, 2:38 p.m.