Triple

T1837060
Position Surface form Disambiguated ID Type / Status
Subject Finnish Navy E41089 entity
Predicate garrison P75 FINISHED
Object Pansio
Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
 E205283 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: Pansio | Statement: [Finnish Navy, garrison, Pansio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pansio
Context triple: [Finnish Navy, garrison, Pansio]
  • A. Panke
    Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
  • B. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • C. Khorumi
    Khorumi is a dynamic Georgian war dance characterized by powerful, martial movements and formations that depict battle scenes and military pride.
  • D. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • E. Pila
    Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
  • 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: Pansio
Triple: [Finnish Navy, garrison, Pansio]
Generated description
Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pansio
Target entity description: Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
  • A. Panke
    Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
  • B. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • C. Khorumi
    Khorumi is a dynamic Georgian war dance characterized by powerful, martial movements and formations that depict battle scenes and military pride.
  • D. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • E. Pila
    Pila is a popular ski resort village in Italy’s Aosta Valley, known for its scenic Alpine slopes and views of major peaks like Mont Blanc and the Matterhorn.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0380a4c81909a2ad0bfd97c884a completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:33 p.m.