Triple

T17413664
Position Surface form Disambiguated ID Type / Status
Subject East Sepik Province E423431 entity
Predicate hasSettlement P1068 FINISHED
Object Wosera
Wosera is a rural settlement in Papua New Guinea’s East Sepik Province, known for its traditional village life and diverse local cultures.
 E1267960 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: Wosera | Statement: [East Sepik Province, hasSettlement, Wosera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wosera
Context triple: [East Sepik Province, hasSettlement, Wosera]
  • A. Yonsa
    Yonsa is a county-level town in North Hamgyong Province, North Korea, known primarily as an administrative and local economic center in the country’s northeastern region.
  • B. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • C. Assosa
    Assosa is a town in western Ethiopia that serves as the administrative and economic center of the Benishangul-Gumuz Region near the Sudanese border.
  • D. Warkaa
    Warkaa is a town located within Iraq’s Muthanna Governorate in the southern part of the country.
  • E. Mekeyir
    Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
  • 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: Wosera
Triple: [East Sepik Province, hasSettlement, Wosera]
Generated description
Wosera is a rural settlement in Papua New Guinea’s East Sepik Province, known for its traditional village life and diverse local cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wosera
Target entity description: Wosera is a rural settlement in Papua New Guinea’s East Sepik Province, known for its traditional village life and diverse local cultures.
  • A. Yonsa
    Yonsa is a county-level town in North Hamgyong Province, North Korea, known primarily as an administrative and local economic center in the country’s northeastern region.
  • B. Wanetsi
    Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
  • C. Assosa
    Assosa is a town in western Ethiopia that serves as the administrative and economic center of the Benishangul-Gumuz Region near the Sudanese border.
  • D. Warkaa
    Warkaa is a town located within Iraq’s Muthanna Governorate in the southern part of the country.
  • E. Mekeyir
    Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44230fc688190a6a7edc12d9e9947 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7ffe00c819081536fb24eaa30d3 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a898ceb48190ba3d40c898b17158 completed May 11, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a01a919bd288190aed27a1523afc470 completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:46 a.m.