Triple

T7941404
Position Surface form Disambiguated ID Type / Status
Subject Rawalpindi District E184399 entity
Predicate contains P35 FINISHED
Object Kahuta
Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
 E697236 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: Kahuta | Statement: [Rawalpindi District, contains, Kahuta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kahuta
Context triple: [Rawalpindi District, contains, Kahuta]
  • A. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • B. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • C. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • D. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • E. 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.
  • 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: Kahuta
Triple: [Rawalpindi District, contains, Kahuta]
Generated description
Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kahuta
Target entity description: Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
  • A. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • B. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • C. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • D. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • E. 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.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0c16b8819093c5d1719cd65ee3 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c1265008190a97ccedf92f9234e completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f22f89c8190a98208bf096a2427 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76d2dff8819085ad9e10baad1537 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:09 p.m.