Triple

T6318800
Position Surface form Disambiguated ID Type / Status
Subject Kõpu Lighthouse E141682 entity
Predicate nearbySettlement P350 FINISHED
Object Kõpu
Kõpu is a small settlement on Estonia’s Hiiumaa Island, known primarily for its proximity to the historic Kõpu Lighthouse.
E585293 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: Kõpu | Statement: [Kõpu Lighthouse, nearbySettlement, Kõpu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kõpu
Context triple: [Kõpu Lighthouse, nearbySettlement, Kõpu]
  • A. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Pühalepa
    Pühalepa is a small rural municipality and village area located on Hiiumaa Island in western Estonia.
  • D. Kruununhaka
    Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
  • E. Krempna
    Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
  • 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: Kõpu
Triple: [Kõpu Lighthouse, nearbySettlement, Kõpu]
Generated description
Kõpu is a small settlement on Estonia’s Hiiumaa Island, known primarily for its proximity to the historic Kõpu Lighthouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kõpu
Target entity description: Kõpu is a small settlement on Estonia’s Hiiumaa Island, known primarily for its proximity to the historic Kõpu Lighthouse.
  • A. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Pühalepa
    Pühalepa is a small rural municipality and village area located on Hiiumaa Island in western Estonia.
  • D. Kruununhaka
    Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
  • E. Krempna
    Krempna is a small village in southeastern Poland that serves as a gateway and service center for visitors to Magura National Park in the Low Beskid Mountains.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c38fe48190a71a4e5e1af19b10 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48485308190adc2208ad46faaa7 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5f50ea1f08190bc475eab7b3ec6f0 completed March 27, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69c5f57691cc8190b07ecfa16d1eac20 completed March 27, 2026, 3:11 a.m.
Created at: March 22, 2026, 4:29 p.m.