Triple

T11744085
Position Surface form Disambiguated ID Type / Status
Subject Aargau E279228 entity
Predicate contains P35 FINISHED
Object Muri
Muri is a municipality and historic town in the Swiss canton of Aargau, known for its former Benedictine abbey.
 E944518 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: Muri | Statement: [Aargau, contains, Muri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muri
Context triple: [Aargau, contains, Muri]
  • A. Muri
    Muri is a coastal village and popular tourist area on the island of Rarotonga in the Cook Islands, known for its picturesque lagoon and beaches.
  • B. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • C. Moringua
    Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
  • D. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • E. Maasara
    Maasara is an industrial and residential district in the Greater Cairo area of Egypt, known for its factories and proximity to the Nile.
  • 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: Muri
Triple: [Aargau, contains, Muri]
Generated description
Muri is a municipality and historic town in the Swiss canton of Aargau, known for its former Benedictine abbey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muri
Target entity description: Muri is a municipality and historic town in the Swiss canton of Aargau, known for its former Benedictine abbey.
  • A. Muri
    Muri is a coastal village and popular tourist area on the island of Rarotonga in the Cook Islands, known for its picturesque lagoon and beaches.
  • B. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • C. Moringua
    Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
  • D. Majene
    Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
  • E. Maasara
    Maasara is an industrial and residential district in the Greater Cairo area of Egypt, known for its factories and proximity to the Nile.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
NEDg Description generation batch_69f043b3c51c8190a764433e86f1333e completed April 28, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.