Triple

T13630298
Position Surface form Disambiguated ID Type / Status
Subject Tom Uglys Bridge E325694 entity
Predicate riverCrossingBetween P15474 FINISHED
Object Sylvania
Sylvania is a suburb in southern Sydney, New South Wales, Australia, located on the southern side of the Georges River.
 E1052168 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: Sylvania | Statement: [Tom Uglys Bridge, riverCrossingBetween, Sylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sylvania
Context triple: [Tom Uglys Bridge, riverCrossingBetween, Sylvania]
  • A. Sylvania
    Sylvania is a suburban city in northwest Ohio, known for its residential communities, parks, and proximity to Toledo.
  • B. Sylvania
    Sylvania is a fictional European country best known as the rival nation in the Marx Brothers film "Duck Soup."
  • C. Sylvania
    Sylvania is a long-established lighting and electronics brand known for its consumer and professional light bulbs, fixtures, and related electrical products.
  • D. Natone
    Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • E. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • 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: Sylvania
Triple: [Tom Uglys Bridge, riverCrossingBetween, Sylvania]
Generated description
Sylvania is a suburb in southern Sydney, New South Wales, Australia, located on the southern side of the Georges River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sylvania
Target entity description: Sylvania is a suburb in southern Sydney, New South Wales, Australia, located on the southern side of the Georges River.
  • A. Sylvania
    Sylvania is a fictional European country best known as the rival nation in the Marx Brothers film "Duck Soup."
  • B. Sylvania
    Sylvania is a suburban city in northwest Ohio, known for its residential communities, parks, and proximity to Toledo.
  • C. Sylvania
    Sylvania is a long-established lighting and electronics brand known for its consumer and professional light bulbs, fixtures, and related electrical products.
  • D. Natone
    Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • E. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9ea9088190a17270dec82bbcaa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aeb591481909d39675a543a8b51 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd316788190a245e8199f6ac87b completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:51 p.m.