Triple

T7163411
Position Surface form Disambiguated ID Type / Status
Subject South Arabian script E167003 entity
Predicate languageWritten P9828 FINISHED
Object Sabaic language E68213 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: Sabaic language | Statement: [South Arabian script, languageWritten, Sabaic language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabaic language
Context triple: [South Arabian script, languageWritten, Sabaic language]
  • A. Sabaic chosen
    Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
  • B. Sabine language
    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.
  • C. Saliba language
    The Saliba language is an Oceanic language spoken in Papua New Guinea, particularly in the Milne Bay Province, and is known for its role in local maritime and village communication.
  • D. Kabba language
    Kabba is a Niger-Congo language of the Adamawa–Ubangi branch spoken primarily in the Central African Republic.
  • E. Sadri language
    Sadri language is an Eastern Indo-Aryan language spoken primarily by Adivasi communities in eastern and central India, often serving as a regional lingua franca.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82feee481908fa180ea8c9924fa completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc8b06c81909791e38becb594f6 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.