Triple

T22244805
Position Surface form Disambiguated ID Type / Status
Subject FIFA Trigrammes E549813 entity
Predicate example P1259 FINISHED
Object KSA for Saudi Arabia 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: KSA for Saudi Arabia | Statement: [FIFA Trigrammes, example, KSA for Saudi Arabia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSA for Saudi Arabia
Context triple: [FIFA Trigrammes, example, KSA for Saudi Arabia]
  • A. KSA
    KSA is the IATA airport code for Kosrae International Airport, which serves the island of Kosrae in the Federated States of Micronesia.
  • B. KSAU
    KSAU is the campus radio station serving Stephen F. Austin State University and the surrounding Nacogdoches, Texas community.
  • C. Saudi Arabia chosen
    Saudi Arabia is a Middle Eastern kingdom on the Arabian Peninsula known for its vast oil reserves, custodianship of Islam’s holiest sites, and significant geopolitical influence.
  • D. Saud
    Saud is a masculine Arabic given name commonly used in Saudi Arabia and other Arab countries, often associated with members of the Saudi royal family.
  • E. KSAF
    KSAF is the ICAO airport code for Santa Fe Regional Airport, a public airport serving Santa Fe, New Mexico.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.