Triple

T8512756
Position Surface form Disambiguated ID Type / Status
Subject Shimojishima Airport E201497 entity
Predicate ICAOcode P419 FINISHED
Object RORS
RORS is the ICAO airport code for Shimojishima Airport, a regional airport serving Shimoji Island in Okinawa Prefecture, Japan.
 E738651 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: RORS | Statement: [Shimojishima Airport, ICAOcode, RORS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RORS
Context triple: [Shimojishima Airport, ICAOcode, RORS]
  • A. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • B. RRS
    RRS is the ship prefix used by the United Kingdom to designate Royal Research Ships engaged in scientific and exploratory missions.
  • C. ROK
    ROK is the stock ticker symbol for Rockwell Automation, a major U.S.-based industrial automation and information technology company.
  • D. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • E. Ris
    Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
  • 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: RORS
Triple: [Shimojishima Airport, ICAOcode, RORS]
Generated description
RORS is the ICAO airport code for Shimojishima Airport, a regional airport serving Shimoji Island in Okinawa Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RORS
Target entity description: RORS is the ICAO airport code for Shimojishima Airport, a regional airport serving Shimoji Island in Okinawa Prefecture, Japan.
  • A. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • B. RRS
    RRS is the ship prefix used by the United Kingdom to designate Royal Research Ships engaged in scientific and exploratory missions.
  • C. ROK
    ROK is the stock ticker symbol for Rockwell Automation, a major U.S.-based industrial automation and information technology company.
  • D. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • E. Ris
    Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60b0d4c8190812ddbc1c17389c8 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e4e64f481908ddf99570fe59332 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ff9792c81908d76141904a170bc completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce50acae5881908f1d2c0e21dd7f1d completed April 2, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:15 p.m.