Triple

T1626996
Position Surface form Disambiguated ID Type / Status
Subject Milan Malpensa Airport E35167 entity
Predicate ICAOcode P419 FINISHED
Object LIMC
LIMC is the ICAO airport code for Milan Malpensa Airport, a major international airport serving the Milan metropolitan area in Italy.
 E184574 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: LIMC | Statement: [Milan Malpensa Airport, ICAOcode, LIMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LIMC
Context triple: [Milan Malpensa Airport, ICAOcode, LIMC]
  • A. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • B. LIME
    LIME is the ICAO airport code for Milan Bergamo Airport, a major international airport serving the Milan region in northern Italy.
  • C. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • D. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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: LIMC
Triple: [Milan Malpensa Airport, ICAOcode, LIMC]
Generated description
LIMC is the ICAO airport code for Milan Malpensa Airport, a major international airport serving the Milan metropolitan area in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LIMC
Target entity description: LIMC is the ICAO airport code for Milan Malpensa Airport, a major international airport serving the Milan metropolitan area in Italy.
  • A. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • B. LIME
    LIME is the ICAO airport code for Milan Bergamo Airport, a major international airport serving the Milan region in northern Italy.
  • C. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • D. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622ca9bc8190b99e90295cb01646 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d12e808190a1319b1c87bcd22e completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad59fede48819084a163ff73fbc1da completed March 8, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_69ad5a85071c8190bab5cefcd918bb8d completed March 8, 2026, 11:16 a.m.
Created at: March 4, 2026, 7:28 p.m.