Triple

T618190
Position Surface form Disambiguated ID Type / Status
Subject Rockhampton E14451 entity
Predicate airportIATA P418 FINISHED
Object ROK
ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
E77521 NE FINISHED

How this triple was built (4 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: ROK | Statement: [Rockhampton, airportIATA, ROK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ROK
Context triple: [Rockhampton, airportIATA, ROK]
  • A. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • B. RKKA
    RKKA is the Russian abbreviation for the Workers' and Peasants' Red Army, the Soviet Union's military force from the Russian Civil War through World War II.
  • C. RAN
    RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
  • D. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • E. Rikusentai
    Rikusentai were elite Japanese naval infantry units of the Imperial Japanese Navy that conducted amphibious assaults and ground combat operations before and during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ROK
Triple: [Rockhampton, airportIATA, ROK]
Generated description
ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ROK
Target entity description: ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • A. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • B. RKKA
    RKKA is the Russian abbreviation for the Workers' and Peasants' Red Army, the Soviet Union's military force from the Russian Civil War through World War II.
  • C. RAN
    RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
  • D. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • E. Rikusentai
    Rikusentai were elite Japanese naval infantry units of the Imperial Japanese Navy that conducted amphibious assaults and ground combat operations before and during World War II.
  • F. None of above. chosen

Provenance (5 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e2418c881908552d2c4a5006e97 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a79a0488190a9d22229ea97e5ec completed March 2, 2026, 9:38 a.m.
NEDg Description generation batch_69a55af406b08190b49bef445f5e652f completed March 2, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69a55ccf8e48819092f89e8712f9d0c6 completed March 2, 2026, 9:47 a.m.
Created at: March 1, 2026, 7:35 p.m.