Triple

T4427761
Position Surface form Disambiguated ID Type / Status
Subject Lake Thun E95249 entity
Predicate nearSettlement P3883 FINISHED
Object Spiez
Spiez is a picturesque Swiss town in the Bernese Oberland, known for its lakeside setting, historic castle, and views of the surrounding Alps.
 E439532 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: Spiez | Statement: [Lake Thun, nearSettlement, Spiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spiez
Context triple: [Lake Thun, nearSettlement, Spiez]
  • A. Spyri
    Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
  • B. Spyke
    Spyke is a recurring character on the sketch comedy series "Portlandia," known for embodying the show's satirical take on Portland's hipster and counterculture scenes.
  • C. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • D. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • E. Speegle
    Speegle is the maiden surname of American character actress Jean Speegle Howard, mother of filmmaker Ron Howard.
  • 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: Spiez
Triple: [Lake Thun, nearSettlement, Spiez]
Generated description
Spiez is a picturesque Swiss town in the Bernese Oberland, known for its lakeside setting, historic castle, and views of the surrounding Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spiez
Target entity description: Spiez is a picturesque Swiss town in the Bernese Oberland, known for its lakeside setting, historic castle, and views of the surrounding Alps.
  • A. Spyri
    Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
  • B. Spyke
    Spyke is a recurring character on the sketch comedy series "Portlandia," known for embodying the show's satirical take on Portland's hipster and counterculture scenes.
  • C. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • D. Barbel
    Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
  • E. Speegle
    Speegle is the maiden surname of American character actress Jean Speegle Howard, mother of filmmaker Ron Howard.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355674d5481908bf2dfd611f3520f completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136ac9c081908780783a27f66474 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b614371b2081909fabb88f2993dd29 completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b6155a57c08190bbf2e88f95cede16 completed March 15, 2026, 2:11 a.m.
Created at: March 12, 2026, 11:30 p.m.