Triple

T17367909
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Stalden
Stalden is a Swiss municipality in the canton of Valais, known as a transport hub and gateway to the Mattertal and Saastal valleys.
E1266320 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: Stalden | Statement: [Visp District, contains, Stalden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stalden
Context triple: [Visp District, contains, Stalden]
  • A. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • B. Waldstatt
    Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
  • C. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • D. Stannern
    Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
  • E. Stadlau
    Stadlau is a residential and commercial neighborhood in Vienna’s 22nd district, Donaustadt, known for its transport links and mixed urban development.
  • 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: Stalden
Triple: [Visp District, contains, Stalden]
Generated description
Stalden is a Swiss municipality in the canton of Valais, known as a transport hub and gateway to the Mattertal and Saastal valleys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stalden
Target entity description: Stalden is a Swiss municipality in the canton of Valais, known as a transport hub and gateway to the Mattertal and Saastal valleys.
  • A. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • B. Waldstatt
    Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
  • C. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • D. Stannern
    Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
  • E. Stadlau
    Stadlau is a residential and commercial neighborhood in Vienna’s 22nd district, Donaustadt, known for its transport links and mixed urban development.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019fed4ee88190bdbf3b31b3d5e3a0 completed May 11, 2026, 9:22 a.m.
NEDg Description generation batch_6a01a089ac0081908a746c0c25cc12be completed May 11, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_6a01a1c415dc8190ba8f7e2a8053917f completed May 11, 2026, 9:30 a.m.
Created at: April 10, 2026, 5:44 a.m.