Triple

T3917460
Position Surface form Disambiguated ID Type / Status
Subject Murg E88875 entity
Predicate hasValley P650 FINISHED
Object Murgtal
Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
 E400070 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: Murgtal | Statement: [Murg, hasValley, Murgtal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murgtal
Context triple: [Murg, hasValley, Murgtal]
  • A. Heul
    Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
  • B. The Bravern
    The Bravern is a luxury mixed-use complex in downtown Bellevue, Washington, featuring high-end retail, dining, and residential spaces.
  • C. Magor
    Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
  • D. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • E. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • 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: Murgtal
Triple: [Murg, hasValley, Murgtal]
Generated description
Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murgtal
Target entity description: Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • A. Heul
    Heul is a small waterway in the Westland region of South Holland in the Netherlands, historically associated with the village of Kwintsheul and its surrounding polder landscape.
  • B. The Bravern
    The Bravern is a luxury mixed-use complex in downtown Bellevue, Washington, featuring high-end retail, dining, and residential spaces.
  • C. Magor
    Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
  • D. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • E. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5797508190adaddb84575d9bb3 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52864e0488190ab348a52cb9168b9 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c3423988190aae6514041dc8ab3 completed March 14, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69b52ca9443481909e43a8bbe208c807 completed March 14, 2026, 9:38 a.m.
Created at: March 9, 2026, 3:22 p.m.