Triple

T3758188
Position Surface form Disambiguated ID Type / Status
Subject MSA E82098 entity
Predicate alternativeName P39 FINISHED
Object Fus’ha E82099 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: Fus’ha | Statement: [MSA, alternativeName, Fus’ha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fus’ha
Context triple: [MSA, alternativeName, Fus’ha]
  • A. Fus’ha chosen
    Fus’ha is the standardized, formal variety of Arabic used in writing, education, media, and official communication across the Arab world.
  • B. Fatha
    Fatha is the nickname of Earl Hines, a pioneering American jazz pianist and bandleader whose innovative style helped shape early jazz and swing music.
  • C. Nukat-us-Shuara
    Nukat-us-Shuara is a biographical and critical anthology of poets compiled by the renowned Urdu poet Mir Taqi Mir.
  • D. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • E. Kawi
    Kawi is an ancient Brahmic script historically used in maritime Southeast Asia, particularly for Old Javanese and related languages.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50f77fc8190b7774a7359118c9c completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.