Triple

T15772245
Position Surface form Disambiguated ID Type / Status
Subject Ziyarat E382389 entity
Predicate performedAt P270 FINISHED
Object Kazimayn
Kazimayn is a major Shia Muslim pilgrimage city in Iraq, renowned for its shrine housing the tombs of the seventh and ninth Shia Imams.
E1175333 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: Kazimayn | Statement: [Ziyarat, performedAt, Kazimayn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazimayn
Context triple: [Ziyarat, performedAt, Kazimayn]
  • A. Kunigal
    Kunigal is a town in the Tumakuru district of Karnataka, India, known for its proximity to Markonahalli Dam and its agricultural surroundings.
  • B. Kilyos
    Kilyos is a seaside neighborhood on the Black Sea coast of Istanbul, Turkey, known for its beaches and summer resorts.
  • C. Kushnar
    Kushnar is an alternative written form or spelling variant of the name Kushner.
  • D. Outariz
    Outariz is a well-known thermal spa area near Ourense in northwestern Spain, famous for its natural hot springs and riverside bathing pools.
  • E. Kimry
    Kimry is a small Russian town on the Volga River known historically for its shoemaking industry and wooden architecture.
  • 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: Kazimayn
Triple: [Ziyarat, performedAt, Kazimayn]
Generated description
Kazimayn is a major Shia Muslim pilgrimage city in Iraq, renowned for its shrine housing the tombs of the seventh and ninth Shia Imams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kazimayn
Target entity description: Kazimayn is a major Shia Muslim pilgrimage city in Iraq, renowned for its shrine housing the tombs of the seventh and ninth Shia Imams.
  • A. Kunigal
    Kunigal is a town in the Tumakuru district of Karnataka, India, known for its proximity to Markonahalli Dam and its agricultural surroundings.
  • B. Kilyos
    Kilyos is a seaside neighborhood on the Black Sea coast of Istanbul, Turkey, known for its beaches and summer resorts.
  • C. Kushnar
    Kushnar is an alternative written form or spelling variant of the name Kushner.
  • D. Outariz
    Outariz is a well-known thermal spa area near Ourense in northwestern Spain, famous for its natural hot springs and riverside bathing pools.
  • E. Kimry
    Kimry is a small Russian town on the Volga River known historically for its shoemaking industry and wooden architecture.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051976d248190adddd3db9f758e22 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877c5ae88190aeb500bb5f0d73f7 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff885d33708190adb157afa7dc2e07 completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff8948cc68819085c3953226236394 completed May 9, 2026, 7:21 p.m.
Created at: April 10, 2026, 4:47 a.m.