Triple

T8522231
Position Surface form Disambiguated ID Type / Status
Subject Jhelum District E201719 entity
Predicate hasSettlement P1068 FINISHED
Object Sohawa
Sohawa is a town in Pakistan’s Punjab province that serves as an important local center within the Jhelum District.
E741609 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: Sohawa | Statement: [Jhelum District, hasSettlement, Sohawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohawa
Context triple: [Jhelum District, hasSettlement, Sohawa]
  • A. Suawa
    Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
  • B. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Sakia
    Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
  • E. Eluanbi
    Eluanbi is a scenic cape at Taiwan’s southernmost tip, known for its historic lighthouse and coastal landscapes within Kenting National Park.
  • 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: Sohawa
Triple: [Jhelum District, hasSettlement, Sohawa]
Generated description
Sohawa is a town in Pakistan’s Punjab province that serves as an important local center within the Jhelum District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sohawa
Target entity description: Sohawa is a town in Pakistan’s Punjab province that serves as an important local center within the Jhelum District.
  • A. Suawa
    Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
  • B. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • D. Sakia
    Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
  • E. Eluanbi
    Eluanbi is a scenic cape at Taiwan’s southernmost tip, known for its historic lighthouse and coastal landscapes within Kenting National Park.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64215408190b45f462a32d3471d completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d3fabb08190a3ad63f9153ad44c completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:16 p.m.