Triple

T10043187
Position Surface form Disambiguated ID Type / Status
Subject North Eastern Province of Kenya E205345 entity
Predicate containsTown P847 FINISHED
Object Wajir
Wajir is a major town in northeastern Kenya that serves as an important commercial and administrative center in a predominantly arid, pastoralist region.
 E838533 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: Wajir | Statement: [North Eastern Province of Kenya, containsTown, Wajir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wajir
Context triple: [North Eastern Province of Kenya, containsTown, Wajir]
  • A. Wazaramo
    Wazaramo are a Bantu-speaking ethnic group native to the coastal and near-coastal regions around Dar es Salaam in eastern Tanzania.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Bawiti
    Bawiti is the main town and administrative center of Egypt’s Bahariya Oasis, known for its proximity to archaeological sites and desert landscapes.
  • D. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • 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: Wajir
Triple: [North Eastern Province of Kenya, containsTown, Wajir]
Generated description
Wajir is a major town in northeastern Kenya that serves as an important commercial and administrative center in a predominantly arid, pastoralist region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wajir
Target entity description: Wajir is a major town in northeastern Kenya that serves as an important commercial and administrative center in a predominantly arid, pastoralist region.
  • A. Wazaramo
    Wazaramo are a Bantu-speaking ethnic group native to the coastal and near-coastal regions around Dar es Salaam in eastern Tanzania.
  • B. Apswa
    Apswa is the endonym used by the Abkhaz people to refer to themselves and their language.
  • C. Bawiti
    Bawiti is the main town and administrative center of Egypt’s Bahariya Oasis, known for its proximity to archaeological sites and desert landscapes.
  • D. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a35fbc081908ec7d359ec3332f2 completed April 5, 2026, 5:21 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:55 p.m.