Triple

T14482217
Position Surface form Disambiguated ID Type / Status
Subject Walser German dialects E359133 entity
Predicate spokenIn P2266 FINISHED
Object Issime
Issime is a small municipality in Italy’s Aosta Valley known for its historical community of Walser German speakers.
E1100446 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: Issime | Statement: [Walser German dialects, spokenIn, Issime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Issime
Context triple: [Walser German dialects, spokenIn, Issime]
  • A. Imasayi
    Imasayi is a prominent town in Yewa North Local Government Area of Ogun State, southwestern Nigeria.
  • B. Imenti
    Imenti are a prominent subgroup of the Meru people of Kenya, known for their distinct dialect and cultural traditions within the larger Meru community.
  • C. Imes
    Imes is the birth surname of American comedian and Academy Award–winning actress Mo'Nique.
  • D. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • E. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • 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: Issime
Triple: [Walser German dialects, spokenIn, Issime]
Generated description
Issime is a small municipality in Italy’s Aosta Valley known for its historical community of Walser German speakers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Issime
Target entity description: Issime is a small municipality in Italy’s Aosta Valley known for its historical community of Walser German speakers.
  • A. Imasayi
    Imasayi is a prominent town in Yewa North Local Government Area of Ogun State, southwestern Nigeria.
  • B. Imenti
    Imenti are a prominent subgroup of the Meru people of Kenya, known for their distinct dialect and cultural traditions within the larger Meru community.
  • C. Imes
    Imes is the birth surname of American comedian and Academy Award–winning actress Mo'Nique.
  • D. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • E. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a41a8c819081a3eaabbe66577a completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65cf06308190bf7b6463bc109542 completed May 8, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69fd66476ab88190b2d410ced33ce34b completed May 8, 2026, 4:27 a.m.
Created at: April 10, 2026, 1:20 a.m.