Triple

T2669327
Position Surface form Disambiguated ID Type / Status
Subject Pan South African Language Board E55711 entity
Predicate abbreviation P43 FINISHED
Object PanSALB E288130 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: PanSALB | Statement: [Pan South African Language Board, abbreviation, PanSALB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PanSALB
Context triple: [Pan South African Language Board, abbreviation, PanSALB]
  • A. PanSALB chosen
    PanSALB is a South African statutory body responsible for promoting and protecting the country’s official and marginalized languages.
  • B. PAN
    PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
  • C. SA+P
    SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
  • D. SABE
    SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
  • E. Panamik
    Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98bacf48190b5633f1a3ec8f0cf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf5115648190bf1c66882410642d completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.