Triple

T22548780
Position Surface form Disambiguated ID Type / Status
Subject Kilgetty E557500 entity
Predicate hasPostcodeArea P920 FINISHED
Object SA NE NERFINISHED

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: SA | Statement: [Kilgetty, hasPostcodeArea, SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SA
Context triple: [Kilgetty, hasPostcodeArea, SA]
  • A. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • B. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • C. SA chosen
    SA is a UK postcode area covering Swansea and surrounding parts of South West Wales.
  • D. SA
    SA is the IATA airline code assigned to South African Airways, the flag carrier airline of South Africa.
  • E. SA
    SA is the abbreviation for the Singapore Army, the land warfare branch of the Singapore Armed Forces responsible for the country's ground defense.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f372df48190ae5dd461b1230bc7 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.