Triple

T7989356
Position Surface form Disambiguated ID Type / Status
Subject Sumvitg E185761 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Trun
Trun is a municipality in the Surselva Region of the canton of Graubünden in eastern Switzerland.
E702792 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: Trun | Statement: [Sumvitg, neighboringMunicipality, Trun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trun
Context triple: [Sumvitg, neighboringMunicipality, Trun]
  • A. Trun
    Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
  • B. Trasmondo
    Trasmondo is an Italian given name historically associated with the noble Conti di Segni family.
  • C. Troizen
    Troizen is an ancient town in the northeastern Peloponnese of Greece, traditionally associated with the myths of Theseus and located within the region of Argolid.
  • D. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • E. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • 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: Trun
Triple: [Sumvitg, neighboringMunicipality, Trun]
Generated description
Trun is a municipality in the Surselva Region of the canton of Graubünden in eastern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trun
Target entity description: Trun is a municipality in the Surselva Region of the canton of Graubünden in eastern Switzerland.
  • A. Trun
    Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
  • B. Trasmondo
    Trasmondo is an Italian given name historically associated with the noble Conti di Segni family.
  • C. Troizen
    Troizen is an ancient town in the northeastern Peloponnese of Greece, traditionally associated with the myths of Theseus and located within the region of Argolid.
  • D. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • E. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0ed61588190b01423061acfce49 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.