Triple

T11641752
Position Surface form Disambiguated ID Type / Status
Subject Malakand Pass E276676 entity
Predicate nearbyCity P350 FINISHED
Object Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
E939172 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: Dargai | Statement: [Malakand Pass, nearbyCity, Dargai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dargai
Context triple: [Malakand Pass, nearbyCity, Dargai]
  • A. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • B. Kalghatgi
    Kalghatgi is a town in the Dharwad district of Karnataka, India, known for its surrounding forests and agricultural economy.
  • C. Lagodekhi
    Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
  • D. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • E. Dariba Kalan
    Dariba Kalan is a historic Mughal-era jewelry and silver market lane in Old Delhi, renowned for its traditional ornaments and narrow, bustling bazaar atmosphere.
  • 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: Dargai
Triple: [Malakand Pass, nearbyCity, Dargai]
Generated description
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dargai
Target entity description: Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
  • A. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • B. Kalghatgi
    Kalghatgi is a town in the Dharwad district of Karnataka, India, known for its surrounding forests and agricultural economy.
  • C. Lagodekhi
    Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
  • D. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • E. Dariba Kalan
    Dariba Kalan is a historic Mughal-era jewelry and silver market lane in Old Delhi, renowned for its traditional ornaments and narrow, bustling bazaar atmosphere.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1381a49c81909d849edbfab7448e completed April 27, 2026, 7:42 a.m.
NEDg Description generation batch_69ef3550fae881909246cd4cca047a19 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef519f95488190b4b5a167aa930133 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:39 p.m.