Triple

T1828209
Position Surface form Disambiguated ID Type / Status
Subject Hamina-class missile boat E40700 entity
Predicate namedAfter P63 FINISHED
Object Hamina
Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
 E206540 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: Hamina | Statement: [Hamina-class missile boat, namedAfter, Hamina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamina
Context triple: [Hamina-class missile boat, namedAfter, Hamina]
  • A. Ajdabiya
    Ajdabiya is a strategic town in northeastern Libya that became a key battleground during the 2011 Libyan Civil War due to its location on major coastal and desert routes.
  • B. Kufa
    Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
  • C. Beni Mellal
    Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
  • D. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • E. Taiz
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • 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: Hamina
Triple: [Hamina-class missile boat, namedAfter, Hamina]
Generated description
Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamina
Target entity description: Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • A. Ajdabiya
    Ajdabiya is a strategic town in northeastern Libya that became a key battleground during the 2011 Libyan Civil War due to its location on major coastal and desert routes.
  • B. Kufa
    Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
  • C. Beni Mellal
    Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
  • D. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • E. Taiz
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01191208190a7eaf3036638ec40 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcc55db8481909b5680230a61a4c1 completed March 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_69adccf2b56c8190bf2de8f8bcbb4837 completed March 8, 2026, 7:24 p.m.
Created at: March 4, 2026, 7:32 p.m.