Triple

T12949058
Position Surface form Disambiguated ID Type / Status
Subject Neelum Valley E309841 entity
Predicate hasVillage P4011 FINISHED
Object Dowarian
Dowarian is a scenic village in Pakistan’s Neelum Valley, known for its lush forests, riverside views, and role as a gateway to nearby alpine attractions.
E1011533 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: Dowarian | Statement: [Neelum Valley, hasVillage, Dowarian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dowarian
Context triple: [Neelum Valley, hasVillage, Dowarian]
  • A. Wordian
    The Wordian is a middle stage of the Permian Period, representing a specific interval of geologic time characterized by distinct fossil assemblages and global stratigraphic markers.
  • B. Ovwian
    Ovwian is a town in Delta State, Nigeria, known as part of the Udu local government area in the Niger Delta region.
  • C. Bodéwadmi
    Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
  • D. Krakozhian
    Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
  • E. Tevanian
    Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
  • 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: Dowarian
Triple: [Neelum Valley, hasVillage, Dowarian]
Generated description
Dowarian is a scenic village in Pakistan’s Neelum Valley, known for its lush forests, riverside views, and role as a gateway to nearby alpine attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dowarian
Target entity description: Dowarian is a scenic village in Pakistan’s Neelum Valley, known for its lush forests, riverside views, and role as a gateway to nearby alpine attractions.
  • A. Wordian
    The Wordian is a middle stage of the Permian Period, representing a specific interval of geologic time characterized by distinct fossil assemblages and global stratigraphic markers.
  • B. Ovwian
    Ovwian is a town in Delta State, Nigeria, known as part of the Udu local government area in the Niger Delta region.
  • C. Bodéwadmi
    Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
  • D. Krakozhian
    Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
  • E. Tevanian
    Tevanian is the surname of Avie Tevanian, a prominent software engineer known for his work on the Mach kernel and as a former Apple executive.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af7790808190826f98e8aff01523 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b115720481908796955032043530 completed May 3, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ea3d288190875888be8356da48 completed May 3, 2026, 2:24 a.m.
Created at: April 9, 2026, 5:43 p.m.