Triple

T18603720
Position Surface form Disambiguated ID Type / Status
Subject South African National Antarctic Programme E454683 entity
Predicate hasAbbreviation P43 FINISHED
Object SANAP NE NERFINISHED

How this triple was built (3 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: SANAP | Statement: [South African National Antarctic Programme, hasAbbreviation, SANAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SANAP
Context triple: [South African National Antarctic Programme, hasAbbreviation, SANAP]
  • A. SNPA
    SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
  • B. SAN
    SAN is the National Rail station code for Sandown railway station on the Isle of Wight, England.
  • C. SAN
    SAN is the vehicle registration code used on license plates for vehicles registered in the Hof district of Bavaria, Germany.
  • D. SAN
    SAN is the acronym for the Schuylkill Action Network, a collaborative partnership focused on protecting and restoring the Schuylkill River watershed.
  • E. SAN
    SAN is the stock ticker symbol for Banco Santander S.A., a major Spanish multinational banking and financial services company.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SANAP
Target entity description: SANAP is South Africa’s national program responsible for conducting and coordinating the country’s scientific research and logistical activities in Antarctica and the sub-Antarctic regions.
  • A. SNPA
    SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
  • B. SAN
    SAN is the vehicle registration code used on license plates for vehicles registered in the Hof district of Bavaria, Germany.
  • C. SAN
    SAN is the National Rail station code for Sandown railway station on the Isle of Wight, England.
  • D. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • E. SAN
    SAN is the acronym for the Schuylkill Action Network, a collaborative partnership focused on protecting and restoring the Schuylkill River watershed.
  • F. None of above. chosen

Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54752abec8190a5f4aa84abe8b240 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.