Triple

T10794300
Position Surface form Disambiguated ID Type / Status
Subject Ogooué-Ivindo Province E254662 entity
Predicate containsTown P847 FINISHED
Object Ovan
Ovan is a small town located in northeastern Gabon within the Ogooué-Ivindo Province.
E885469 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: Ovan | Statement: [Ogooué-Ivindo Province, containsTown, Ovan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ovan
Context triple: [Ogooué-Ivindo Province, containsTown, Ovan]
  • A. Oveng
    Oveng is a town located in Cameroon's South Region.
  • B. Tosterön
    Tosterön is an island in Lake Mälaren in central Sweden, known for its natural landscapes and proximity to the town of Strängnäs.
  • C. Svedala
    Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
  • D. Ovada
    Ovada is a small town in the Piedmont region of northwestern Italy, known for its wine production and location within the historical area of Monferrato.
  • E. Olvan
    Olvan is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its rural landscape and historic Romanesque heritage.
  • 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: Ovan
Triple: [Ogooué-Ivindo Province, containsTown, Ovan]
Generated description
Ovan is a small town located in northeastern Gabon within the Ogooué-Ivindo Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ovan
Target entity description: Ovan is a small town located in northeastern Gabon within the Ogooué-Ivindo Province.
  • A. Oveng
    Oveng is a town located in Cameroon's South Region.
  • B. Tosterön
    Tosterön is an island in Lake Mälaren in central Sweden, known for its natural landscapes and proximity to the town of Strängnäs.
  • C. Svedala
    Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
  • D. Ovada
    Ovada is a small town in the Piedmont region of northwestern Italy, known for its wine production and location within the historical area of Monferrato.
  • E. Olvan
    Olvan is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its rural landscape and historic Romanesque heritage.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f878648190be5e25c56a7511cf completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.