Triple

T12137201
Position Surface form Disambiguated ID Type / Status
Subject Moonta E289088 entity
Predicate hasSuburb P747 FINISHED
Object Port Hughes E289784 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: Port Hughes | Statement: [Moonta, hasSuburb, Port Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Hughes
Context triple: [Moonta, hasSuburb, Port Hughes]
  • A. Port Hughes chosen
    Port Hughes is a coastal holiday town in South Australia known for its beaches, fishing jetty, and access to the Spencer Gulf.
  • B. Port Howard
    Port Howard is the main settlement and administrative center on West Falkland in the Falkland Islands, known for its sheep farming and role as a local hub.
  • C. Tarcoola
    Tarcoola is a remote outback locality in South Australia that serves as a historic railway junction on major north–south transcontinental routes.
  • D. Hermannsburg
    Hermannsburg is a village in Lower Saxony, Germany, known for its location in the Lüneburg Heath and its historical role as a center of Protestant missionary activity.
  • E. Port Gilbert
    Port Gilbert was the original settlement that later developed into the city of Racine, Wisconsin, on the shore of Lake Michigan.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee285208190a0183e30c749f955 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:49 p.m.