Triple

T15005381
Position Surface form Disambiguated ID Type / Status
Subject Darumbal language E377695 entity
Predicate hasAlternativeName P39 FINISHED
Object Ritambel E377702 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: Ritambel | Statement: [Darumbal language, hasAlternativeName, Ritambel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ritambel
Context triple: [Darumbal language, hasAlternativeName, Ritambel]
  • A. Ritambol chosen
    Ritambol is an alternative name for the Darumbal people, an Aboriginal Australian group traditionally associated with the Rockhampton region of central Queensland.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • D. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • E. Hidimba
    Hidimba is a demon character from the Indian epic Mahabharata, known for confronting the Pandavas in the forest and being slain by Bhima.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7322b5c81909089cbbf816e1436 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dcbd7c88190ad1a302cd0c6ef28 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:54 a.m.