Triple

T21731112
Position Surface form Disambiguated ID Type / Status
Subject Hacking River E536406 entity
Predicate mouthLocation P417 FINISHED
Object Port Hacking NE NERFINISHED

How this triple was built (2 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: Port Hacking | Statement: [Hacking River, mouthLocation, Port Hacking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Hacking
Context triple: [Hacking River, mouthLocation, Port Hacking]
  • A. Port Hacking chosen
    Port Hacking is a tidal estuary and bay in southern Sydney, New South Wales, known for its scenic waterways, recreational boating, and proximity to the Royal National Park.
  • B. Dot Hacker
    Dot Hacker is an American experimental rock band known for its atmospheric soundscapes and for featuring multi-instrumentalist Josh Klinghoffer among its members.
  • C. Hacking
    Hacking is a residential district in Vienna’s 13th municipal district, Hietzing, known for its green spaces and villa-style housing.
  • D. Hacking River
    Hacking River is a waterway in New South Wales, Australia, flowing through the Royal National Park and serving as a popular spot for recreation and nature activities.
  • E. The Hacker’s Choice
    The Hacker’s Choice is a well-known security research and hacking collective recognized for creating influential penetration-testing tools and publishing information on network and system vulnerabilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0713c48190a38b3963cb3cbaf0 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.