Triple

T13953137
Position Surface form Disambiguated ID Type / Status
Subject Kwinana Freeway E335583 entity
Predicate hasExitTo P29827 FINISHED
Object Como E1051289 NE FINISHED

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: Como | Statement: [Kwinana Freeway, hasExitTo, Como]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Como
Context triple: [Kwinana Freeway, hasExitTo, Como]
  • A. Como
    Como is a historic city in northern Italy near the Swiss border, known for its scenic setting at the southern tip of Lake Como and its medieval architecture, including the Como Cathedral.
  • B. Como
    Como is an unincorporated community located in Whiteside County, Illinois, in the United States.
  • C. Como chosen
    Como is a suburb in southern Sydney, New South Wales, Australia, known for its riverside setting along the Georges River and leafy residential character.
  • D. American River
    The American River is a major waterway in Northern California known for its role in the Gold Rush, outdoor recreation, and as a key tributary of the Sacramento River.
  • E. American River
    American River is a small coastal township on Kangaroo Island in South Australia, known for its sheltered bay, fishing, and nature-based tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc321c600819085052392de9b0b53 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.