Triple

T12949060
Position Surface form Disambiguated ID Type / Status
Subject Neelum Valley E309841 entity
Predicate hasVillage P4011 FINISHED
Object Nagdar
Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
 E1011535 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: Nagdar | Statement: [Neelum Valley, hasVillage, Nagdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagdar
Context triple: [Neelum Valley, hasVillage, Nagdar]
  • A. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Dogara
    Dogara is the surname of Yakubu Dogara, a prominent Nigerian politician and former Speaker of the House of Representatives.
  • D. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • E. Dumanjug
    Dumanjug is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural economy and historic churches.
  • 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: Nagdar
Triple: [Neelum Valley, hasVillage, Nagdar]
Generated description
Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagdar
Target entity description: Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
  • A. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Dogara
    Dogara is the surname of Yakubu Dogara, a prominent Nigerian politician and former Speaker of the House of Representatives.
  • D. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • E. Dumanjug
    Dumanjug is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural economy and historic churches.
  • 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.