Triple

T14448680
Position Surface form Disambiguated ID Type / Status
Subject Darug language E358272 entity
Predicate alternateName P39 FINISHED
Object Eora language E614033 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: Eora language | Statement: [Darug language, alternateName, Eora language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eora language
Context triple: [Darug language, alternateName, Eora language]
  • A. Eora language chosen
    The Eora language is an Indigenous Australian language traditionally spoken by the Eora people of the Sydney region, forming a key part of their cultural and historical identity.
  • B. Teiwa language
    Teiwa language is a Papuan language spoken by the Teiwa people on Pantar Island in eastern Indonesia.
  • C. Moriori language
    The Moriori language is an extinct Polynesian language once spoken by the indigenous Moriori people of New Zealand’s Chatham Islands.
  • D. Taupota language
    The Taupota language is an Oceanic language spoken in Papua New Guinea, belonging to the Papuan Tip subgroup of the Austronesian language family.
  • E. Runga language
    The Runga language is a Central Sudanic language spoken primarily by the Runga people in parts of Chad and the Central African Republic.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdf451c8190baaa3f7500eaea16 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.