Triple

T3748671
Position Surface form Disambiguated ID Type / Status
Subject Bern E81271 entity
Predicate hasLandmark P105 FINISHED
Object Bear Pit
Bear Pit is a historic bear enclosure and popular tourist attraction in the Swiss city of Bern, symbolically linked to the city's name and coat of arms.
 E384580 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: Bear Pit | Statement: [Bern, hasLandmark, Bear Pit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bear Pit
Context triple: [Bern, hasLandmark, Bear Pit]
  • A. Skinner’s Mudhole
    Skinner’s Mudhole was the original 19th-century settlement that later developed into the city of Eugene, Oregon.
  • B. Hell Bunker
    Hell Bunker is a famously deep and punishing sand hazard on the Old Course at St Andrews, renowned as one of the most intimidating bunkers in golf.
  • C. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • D. Thunder Hole
    Thunder Hole is a coastal inlet in Acadia National Park known for its dramatic crashing waves and thunderous booming sounds created as seawater surges into a narrow rock cavern.
  • E. Wonder Bar
    Wonder Bar is a 1934 American pre-Code musical film adaptation of a Broadway show, known for its blend of comedy, music, and controversial themes.
  • 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: Bear Pit
Triple: [Bern, hasLandmark, Bear Pit]
Generated description
Bear Pit is a historic bear enclosure and popular tourist attraction in the Swiss city of Bern, symbolically linked to the city's name and coat of arms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bear Pit
Target entity description: Bear Pit is a historic bear enclosure and popular tourist attraction in the Swiss city of Bern, symbolically linked to the city's name and coat of arms.
  • A. Skinner’s Mudhole
    Skinner’s Mudhole was the original 19th-century settlement that later developed into the city of Eugene, Oregon.
  • B. Hell Bunker
    Hell Bunker is a famously deep and punishing sand hazard on the Old Course at St Andrews, renowned as one of the most intimidating bunkers in golf.
  • C. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • D. Thunder Hole
    Thunder Hole is a coastal inlet in Acadia National Park known for its dramatic crashing waves and thunderous booming sounds created as seawater surges into a narrow rock cavern.
  • E. Wonder Bar
    Wonder Bar is a 1934 American pre-Code musical film adaptation of a Broadway show, known for its blend of comedy, music, and controversial themes.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6bf95c81909796fbc84995ae05 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2f5e9881908c10feafbb569f48 completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4df1cfd348190831cc472de055436 completed March 14, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69b4df7b2da881908aef158d79c2834c completed March 14, 2026, 4:09 a.m.
Created at: March 8, 2026, 3:35 p.m.