Triple

T14569999
Position Surface form Disambiguated ID Type / Status
Subject Morsko Castle E341886 entity
Predicate locatedNear P294 FINISHED
Object Morsko
Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
 E1106907 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: Morsko | Statement: [Morsko Castle, locatedNear, Morsko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morsko
Context triple: [Morsko Castle, locatedNear, Morsko]
  • A. Meeri
    Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
  • B. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • C. Meer
    Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
  • D. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • 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: Morsko
Triple: [Morsko Castle, locatedNear, Morsko]
Generated description
Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morsko
Target entity description: Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
  • A. Meeri
    Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
  • B. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • C. Meer
    Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
  • D. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac858108190b7c90130f18b0ddb completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c3678048190a23b509e963c1ade completed May 8, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.