Triple
T1319068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Bergamo Airport |
E28173
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LIME
LIME is the ICAO airport code for Milan Bergamo Airport, a major international airport serving the Milan region in northern Italy.
|
E150483
|
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: LIME | Statement: [Milan Bergamo Airport, ICAOcode, LIME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIME Context triple: [Milan Bergamo Airport, ICAOcode, LIME]
-
A.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
B.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
C.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
D.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
E.
Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
- 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: LIME Triple: [Milan Bergamo Airport, ICAOcode, LIME]
Generated description
LIME is the ICAO airport code for Milan Bergamo Airport, a major international airport serving the Milan region in northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIME Target entity description: LIME is the ICAO airport code for Milan Bergamo Airport, a major international airport serving the Milan region in northern Italy.
-
A.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
B.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
C.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
D.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
E.
Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1780be8819083a9365b8a49305d |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaf3cef88190ab1635bc5f452f8b |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb5ee684819083f5309dc9771c3a |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbc010cd0819080b1f8695dc0990b |
completed | March 8, 2026, midnight |
Created at: March 1, 2026, 7:55 p.m.