Triple

T15925075
Position Surface form Disambiguated ID Type / Status
Subject Skenderaj E386186 entity
Predicate hasSettlement P1068 FINISHED
Object Marinë
Marinë is a small settlement located within the municipality of Skenderaj in Kosovo.
 E1185317 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: Marinë | Statement: [Skenderaj, hasSettlement, Marinë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marinë
Context triple: [Skenderaj, hasSettlement, Marinë]
  • A. Morsko
    Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
  • B. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • C. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • D. Pelago
    Pelago is a travel and experiences booking platform that curates and sells activities, tours, and attractions to consumers, often in partnership with airlines and tourism brands.
  • E. La Marina
    La Marina is a traditional coastal region of Cantabria in northern Spain, known for its seaside towns, beaches, and maritime landscapes.
  • 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: Marinë
Triple: [Skenderaj, hasSettlement, Marinë]
Generated description
Marinë is a small settlement located within the municipality of Skenderaj in Kosovo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marinë
Target entity description: Marinë is a small settlement located within the municipality of Skenderaj in Kosovo.
  • A. Morsko
    Morsko is a village in southern Poland known for its picturesque setting in the Kraków-Częstochowa Upland and its historic castle ruins.
  • B. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • C. Deniz
    Deniz is a common Turkish given name used for both males and females, meaning "sea."
  • D. Pelago
    Pelago is a travel and experiences booking platform that curates and sells activities, tours, and attractions to consumers, often in partnership with airlines and tourism brands.
  • E. La Marina
    La Marina is a traditional coastal region of Cantabria in northern Spain, known for its seaside towns, beaches, and maritime landscapes.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15685b28c8190927b704fef14a159 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5adcde88190ae2a845aaa9d31ac completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6c4a66c8190bba70da71c9ec576 completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7a373d88190a2fcf75022f3e161 completed May 9, 2026, 10:39 p.m.
Created at: April 10, 2026, 4:52 a.m.