Triple

T12137203
Position Surface form Disambiguated ID Type / Status
Subject Moonta E289088 entity
Predicate associatedWith P37 FINISHED
Object Kadina E284253 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: Kadina | Statement: [Moonta, associatedWith, Kadina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadina
Context triple: [Moonta, associatedWith, Kadina]
  • A. Kadina chosen
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • B. Krorayina
    Krorayina is an ancient oasis city in the Tarim Basin of present-day Xinjiang, China, known for its role as a Silk Road trading center and its well-preserved archaeological remains.
  • C. Adinia
    Adinia is a small genus of killifish in the family Fundulidae, comprising freshwater fishes native to North America.
  • D. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • E. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • 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_69f61e4a573c8190b5dd6cc61849739b completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.