Triple

T17999367
Position Surface form Disambiguated ID Type / Status
Subject Lemgo E430583 entity
Predicate hasSubdivision P747 FINISHED
Object Lieme
Lieme is a district of the German town of Lemgo in North Rhine-Westphalia.
E1300634 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: Lieme | Statement: [Lemgo, hasSubdivision, Lieme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lieme
Context triple: [Lemgo, hasSubdivision, Lieme]
  • A. Lekinioch
    Lekinioch is one of the inhabited atoll islands of the Mortlock Islands in Chuuk State, Federated States of Micronesia.
  • B. Leme
    Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
  • C. Liholiho
    Liholiho, later known as Kamehameha II, was a king of the Kingdom of Hawaii who is remembered for ending the traditional kapu system and helping usher in major cultural and religious changes in the islands.
  • D. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • E. Sieniawa
    Sieniawa is a historic town in southeastern Poland known for its association with the noble Czartoryski family and their former residence.
  • 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: Lieme
Triple: [Lemgo, hasSubdivision, Lieme]
Generated description
Lieme is a district of the German town of Lemgo in North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lieme
Target entity description: Lieme is a district of the German town of Lemgo in North Rhine-Westphalia.
  • A. Lekinioch
    Lekinioch is one of the inhabited atoll islands of the Mortlock Islands in Chuuk State, Federated States of Micronesia.
  • B. Leme
    Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
  • C. Liholiho
    Liholiho, later known as Kamehameha II, was a king of the Kingdom of Hawaii who is remembered for ending the traditional kapu system and helping usher in major cultural and religious changes in the islands.
  • D. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • E. Sieniawa
    Sieniawa is a historic town in southeastern Poland known for its association with the noble Czartoryski family and their former residence.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e75e908190a6ff6a3ec6069ff5 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b29fe08190a5142e049d401494 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.