Triple

T15898947
Position Surface form Disambiguated ID Type / Status
Subject Bautzen district E385533 entity
Predicate containsTown P847 FINISHED
Object Steina
Steina is a small town located in the Bautzen district of the German federal state of Saxony.
E1183123 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: Steina | Statement: [Bautzen district, containsTown, Steina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steina
Context triple: [Bautzen district, containsTown, Steina]
  • A. Schnäggeninseli
    Schnäggeninseli is a small, picturesque island in Switzerland’s Lake Brienz, known for its natural beauty and tranquil setting.
  • B. Rote Island
    Rote Island is a small Indonesian island in the southernmost part of the country, known for its traditional culture, dry landscapes, and surf-friendly beaches.
  • C. Papa Stronsay
    Papa Stronsay is a small island in the Orkney archipelago of Scotland, known for its remote setting and monastic community.
  • D. Black Island
    Black Island is an island located within Lake Winnipeg in the Canadian province of Manitoba.
  • E. Isla Naos
    Isla Naos is one of the small Pacific islands near Panama City that forms part of the Amador Causeway, a popular area for tourism, marinas, and scenic views of the Panama Canal entrance.
  • 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: Steina
Triple: [Bautzen district, containsTown, Steina]
Generated description
Steina is a small town located in the Bautzen district of the German federal state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steina
Target entity description: Steina is a small town located in the Bautzen district of the German federal state of Saxony.
  • A. Schnäggeninseli
    Schnäggeninseli is a small, picturesque island in Switzerland’s Lake Brienz, known for its natural beauty and tranquil setting.
  • B. Rote Island
    Rote Island is a small Indonesian island in the southernmost part of the country, known for its traditional culture, dry landscapes, and surf-friendly beaches.
  • C. Papa Stronsay
    Papa Stronsay is a small island in the Orkney archipelago of Scotland, known for its remote setting and monastic community.
  • D. Black Island
    Black Island is an island located within Lake Winnipeg in the Canadian province of Manitoba.
  • E. Isla Naos
    Isla Naos is one of the small Pacific islands near Panama City that forms part of the Amador Causeway, a popular area for tourism, marinas, and scenic views of the Panama Canal entrance.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563bd0688190b6f7a695be0a4625 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb190ae4881909ac299dfa6e7d9b6 completed May 9, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69ffb25747148190bc96cf19acf85e29 completed May 9, 2026, 10:16 p.m.
Created at: April 10, 2026, 4:51 a.m.