Triple

T7400101
Position Surface form Disambiguated ID Type / Status
Subject Tuuta Airport E170724 entity
Predicate ICAOcode P419 FINISHED
Object NZCI
NZCI is the ICAO airport code for Tuuta Airport, the main airfield serving the Chatham Islands of New Zealand.
 E662223 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: NZCI | Statement: [Tuuta Airport, ICAOcode, NZCI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NZCI
Context triple: [Tuuta Airport, ICAOcode, NZCI]
  • A. NCMI
    NCMI is a U.S. Defense Department intelligence organization that collects and analyzes global medical and health-related information to support military and national security decision-making.
  • B. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • C. NI
    NI is the abbreviation for Nuevas Ideas, a political party in El Salvador founded by President Nayib Bukele.
  • D. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • E. NI
    NI (National Instruments) is an American technology company known for its automated test and measurement hardware and software platforms used by engineers and scientists worldwide.
  • 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: NZCI
Triple: [Tuuta Airport, ICAOcode, NZCI]
Generated description
NZCI is the ICAO airport code for Tuuta Airport, the main airfield serving the Chatham Islands of New Zealand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NZCI
Target entity description: NZCI is the ICAO airport code for Tuuta Airport, the main airfield serving the Chatham Islands of New Zealand.
  • A. NCMI
    NCMI is a U.S. Defense Department intelligence organization that collects and analyzes global medical and health-related information to support military and national security decision-making.
  • B. NI
    NI is the abbreviation for Nuevas Ideas, a political party in El Salvador founded by President Nayib Bukele.
  • C. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • D. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • E. NI
    NI (National Instruments) is an American technology company known for its automated test and measurement hardware and software platforms used by engineers and scientists worldwide.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811c9c5e48190a610d890780c7aa4 completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8128e49948190822787e76b1663a6 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:10 p.m.