Triple

T9264435
Position Surface form Disambiguated ID Type / Status
Subject Bridges E222659 entity
Predicate operatesIn P82 FINISHED
Object Knot Cities
Knot Cities is a fictional or conceptual urban setting associated with the operations of the entity known as Bridges.
 E788329 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: Knot Cities | Statement: [Bridges, operatesIn, Knot Cities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knot Cities
Context triple: [Bridges, operatesIn, Knot Cities]
  • A. Knot
    Knot is a Dutch surname most prominently associated with Klaas Knot, the president of the Dutch central bank (De Nederlandsche Bank) and a leading European economist.
  • B. Knotz
    Knotz is a music producer known for working with the artist Gravitas.
  • C. The Knotty
    The Knotty is the historic nickname of the North Staffordshire Railway, a former British railway company that served the Staffordshire region during the 19th and early 20th centuries.
  • D. The True Knot
    The True Knot is a nomadic cult of quasi-immortal psychic vampires in Stephen King’s novel "Doctor Sleep" who feed on the life essence of children with the shining.
  • E. World on a String
    "World on a String" is a song best known as a classic pop standard popularized by Frank Sinatra and other traditional pop and jazz vocalists.
  • 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: Knot Cities
Triple: [Bridges, operatesIn, Knot Cities]
Generated description
Knot Cities is a fictional or conceptual urban setting associated with the operations of the entity known as Bridges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knot Cities
Target entity description: Knot Cities is a fictional or conceptual urban setting associated with the operations of the entity known as Bridges.
  • A. Knot
    Knot is a Dutch surname most prominently associated with Klaas Knot, the president of the Dutch central bank (De Nederlandsche Bank) and a leading European economist.
  • B. Knotz
    Knotz is a music producer known for working with the artist Gravitas.
  • C. The Knotty
    The Knotty is the historic nickname of the North Staffordshire Railway, a former British railway company that served the Staffordshire region during the 19th and early 20th centuries.
  • D. The True Knot
    The True Knot is a nomadic cult of quasi-immortal psychic vampires in Stephen King’s novel "Doctor Sleep" who feed on the life essence of children with the shining.
  • E. World on a String
    "World on a String" is a song best known as a classic pop standard popularized by Frank Sinatra and other traditional pop and jazz vocalists.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0748a1f481909d9d876692cefccc completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0f0c6c81909f97ccc4c09e8072 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09d6cc45c8190b6cb44212ccfcbc8 completed April 4, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2069048190ac22b738fa324771 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:32 p.m.