Triple

T3981533
Position Surface form Disambiguated ID Type / Status
Subject Sabellian E85768 entity
Predicate hasPart P35 FINISHED
Object Sabine language E89813 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: Sabine language | Statement: [Sabellian, hasPart, Sabine language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabine language
Context triple: [Sabellian, hasPart, Sabine language]
  • A. Sabine language chosen
    The Sabine language was an extinct Italic tongue once spoken by the ancient Sabine people of central Italy, closely related to other Osco-Umbrian languages.
  • B. Picene language
    The Picene language is an extinct Italic language once spoken by the ancient Piceni people in east-central Italy.
  • C. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • D. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • E. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9db804c8190ad96656cb7b1a4fe completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540257c188190899b00bf1d0247d2 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.