Triple

T15586178
Position Surface form Disambiguated ID Type / Status
Subject Nurragingy E374626 entity
Predicate languageGroup P3349 FINISHED
Object Darug language E358272 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: Darug language | Statement: [Nurragingy, languageGroup, Darug language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darug language
Context triple: [Nurragingy, languageGroup, Darug language]
  • A. Darug language chosen
    The Darug language is an Indigenous Australian Aboriginal language traditionally spoken by the Darug people of the Sydney region in New South Wales.
  • B. Butuanon language
    The Butuanon language is an Austronesian language spoken primarily in and around Butuan City in Mindanao, Philippines.
  • C. Kalagan language
    The Kalagan language is an Austronesian language spoken by the Kalagan people of Mindanao in the southern Philippines, particularly in areas such as Sarangani.
  • D. Surigaonon language
    Surigaonon language is an Austronesian language spoken primarily in the Surigao region of Mindanao in the southern Philippines.
  • E. Yakan language
    The Yakan language is an Austronesian language spoken primarily by the Yakan people of the Sulu Archipelago and nearby areas in the southern Philippines.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c5166d88190ab14c7779e3e8e1f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.