Triple

T15048411
Position Surface form Disambiguated ID Type / Status
Subject Bega Valley E379290 entity
Predicate containsTown P847 FINISHED
Object Wapengo
Wapengo is a small coastal locality in New South Wales, Australia, known for its proximity to Wapengo Lake and its oyster farming industry.
 E1133642 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: Wapengo | Statement: [Bega Valley, containsTown, Wapengo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wapengo
Context triple: [Bega Valley, containsTown, Wapengo]
  • A. Wapare
    Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
  • B. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • C. Walo
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • D. Walo
    Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
  • E. Wokolo
    Wokolo is the largest known impact crater on Umbriel, one of Uranus’s major moons.
  • 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: Wapengo
Triple: [Bega Valley, containsTown, Wapengo]
Generated description
Wapengo is a small coastal locality in New South Wales, Australia, known for its proximity to Wapengo Lake and its oyster farming industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wapengo
Target entity description: Wapengo is a small coastal locality in New South Wales, Australia, known for its proximity to Wapengo Lake and its oyster farming industry.
  • A. Wapare
    Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
  • B. Papingo
    Papingo is a picturesque traditional village in the Zagori region of Epirus, northwestern Greece, known for its stone architecture and dramatic mountain scenery.
  • C. Walo
    Walo is a specific subgroup within the Dogon languages, a cluster of closely related languages spoken primarily in Mali.
  • D. Walo
    Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
  • E. Wokolo
    Wokolo is the largest known impact crater on Umbriel, one of Uranus’s major moons.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9f49b1108190a453ef3805006e6c completed May 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe9fb79bd08190b22f92df751d0e58 completed May 9, 2026, 2:45 a.m.
Created at: April 10, 2026, 3 a.m.