Triple

T13504002
Position Surface form Disambiguated ID Type / Status
Subject Hawkesbury–Nepean catchment E320963 entity
Predicate containsTown P847 FINISHED
Object Picton
Picton is a historic town in New South Wales, Australia, known for its colonial-era architecture and location southwest of Sydney.
 E1045738 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: Picton | Statement: [Hawkesbury–Nepean catchment, containsTown, Picton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Picton
Context triple: [Hawkesbury–Nepean catchment, containsTown, Picton]
  • A. Picton
    Picton is a small coastal town in New Zealand’s South Island that serves as a major ferry terminal and gateway between the islands.
  • B. Picton
    Picton is a small town in Prince Edward County, Ontario, known as a local hub for visitors exploring nearby parks, wineries, and Lake Ontario beaches.
  • C. La Punta
    La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
  • D. La Punta
    La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
  • E. Saldanha
    Saldanha is a Portuguese surname associated with various notable figures, including Brazilian film director Carlos Saldanha.
  • 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: Picton
Triple: [Hawkesbury–Nepean catchment, containsTown, Picton]
Generated description
Picton is a historic town in New South Wales, Australia, known for its colonial-era architecture and location southwest of Sydney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Picton
Target entity description: Picton is a historic town in New South Wales, Australia, known for its colonial-era architecture and location southwest of Sydney.
  • A. Picton
    Picton is a small coastal town in New Zealand’s South Island that serves as a major ferry terminal and gateway between the islands.
  • B. Picton
    Picton is a small town in Prince Edward County, Ontario, known as a local hub for visitors exploring nearby parks, wineries, and Lake Ontario beaches.
  • C. La Punta
    La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
  • D. La Punta
    La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
  • E. Saldanha
    Saldanha is a Portuguese surname associated with various notable figures, including Brazilian film director Carlos Saldanha.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758a55ddc81909298a37f6ce88236 completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:43 p.m.