Triple

T8990966
Position Surface form Disambiguated ID Type / Status
Subject RUH E214786 entity
Predicate associatedWithICAOCode P419 FINISHED
Object OERK E214787 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: OERK | Statement: [RUH, associatedWithICAOCode, OERK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OERK
Context triple: [RUH, associatedWithICAOCode, OERK]
  • A. OERK chosen
    OERK is the ICAO airport code for King Khalid International Airport, the main international gateway serving Riyadh, Saudi Arabia.
  • B. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • C. OER
    OER (Octet Encoding Rules) is a set of ASN.1 encoding rules that represent data in a compact, efficient binary octet-based format optimized for constrained environments and high-performance communication.
  • D. EOK
    EOK is the Estonian Olympic Committee, the national body responsible for organizing Estonia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • E. OERR
    OERR is a governmental unit focused on coordinating preparedness, response, and recovery efforts for emergencies and disasters.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68733548819096a5ba0ff41e43da completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c9659c8190ae7ff5df8e016d17 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.