Triple

T16480294
Position Surface form Disambiguated ID Type / Status
Subject Reichenbach im Kandertal E400295 entity
Predicate hasSettlement P1068 FINISHED
Object Wengi
Wengi is a small settlement in the municipality of Reichenbach im Kandertal in the Swiss canton of Bern.
E1214448 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: Wengi | Statement: [Reichenbach im Kandertal, hasSettlement, Wengi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wengi
Context triple: [Reichenbach im Kandertal, hasSettlement, Wengi]
  • A. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • B. Chauchoin
    Chauchoin is the original French family surname of Hollywood actress Claudette Colbert.
  • C. Sciarra
    Sciarra is an Italian given name historically associated with the noble Colonna family, notably the medieval nobleman Sciarra Colonna.
  • D. Ceggia
    Ceggia is a small town in northeastern Italy known for its traditional Carnival celebrations and its location within the Veneto region.
  • E. Afgoye
    Afgoye is a town in southern Somalia known historically as an agricultural and trading center along the Shabelle River.
  • 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: Wengi
Triple: [Reichenbach im Kandertal, hasSettlement, Wengi]
Generated description
Wengi is a small settlement in the municipality of Reichenbach im Kandertal in the Swiss canton of Bern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wengi
Target entity description: Wengi is a small settlement in the municipality of Reichenbach im Kandertal in the Swiss canton of Bern.
  • A. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • B. Chauchoin
    Chauchoin is the original French family surname of Hollywood actress Claudette Colbert.
  • C. Sciarra
    Sciarra is an Italian given name historically associated with the noble Colonna family, notably the medieval nobleman Sciarra Colonna.
  • D. Ceggia
    Ceggia is a small town in northeastern Italy known for its traditional Carnival celebrations and its location within the Veneto region.
  • E. Afgoye
    Afgoye is a town in southern Somalia known historically as an agricultural and trading center along the Shabelle River.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01f6c88190b75a0d6c94786426 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f61eca48190816fe1e3dbe6e901 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a004ff9e2e88190afa4726e3ba71ea9 completed May 10, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a00505beaa881909aca531af1149fbc completed May 10, 2026, 9:31 a.m.
Created at: April 10, 2026, 5:13 a.m.