Triple

T5212574
Position Surface form Disambiguated ID Type / Status
Subject Curonian Spit E117667 entity
Predicate contains P35 FINISHED
Object Preila
Preila is a small Lithuanian resort village on the Curonian Spit, known for its tranquil beaches, pine forests, and traditional wooden architecture.
 E503537 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: Preila | Statement: [Curonian Spit, contains, Preila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Preila
Context triple: [Curonian Spit, contains, Preila]
  • A. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • B. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Pielavesi
    Pielavesi is a rural municipality in Northern Savonia, Finland, best known as the birthplace of long-serving Finnish president Urho Kekkonen.
  • E. Rausu
    Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
  • 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: Preila
Triple: [Curonian Spit, contains, Preila]
Generated description
Preila is a small Lithuanian resort village on the Curonian Spit, known for its tranquil beaches, pine forests, and traditional wooden architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Preila
Target entity description: Preila is a small Lithuanian resort village on the Curonian Spit, known for its tranquil beaches, pine forests, and traditional wooden architecture.
  • A. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • B. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Pielavesi
    Pielavesi is a rural municipality in Northern Savonia, Finland, best known as the birthplace of long-serving Finnish president Urho Kekkonen.
  • E. Rausu
    Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a730e6c8190ae6082da41ee592a completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefdee940819098e397ab50f57411 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0b1fe9c8190bfc1be621c7c1c76 completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef16739148190b9700228be7d07f9 completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:47 p.m.