Triple
T2221455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw Modlin Airport |
E48149
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EPMO
EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
|
E246220
|
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: EPMO | Statement: [Warsaw Modlin Airport, ICAOcode, EPMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EPMO Context triple: [Warsaw Modlin Airport, ICAOcode, EPMO]
-
A.
EOP
EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
-
B.
EOPSS
EOPSS is the Massachusetts state agency responsible for overseeing public safety, law enforcement, emergency management, and related security functions.
-
C.
EAM
EAM was a major Greek resistance organization during World War II that fought against Axis occupation and played a key role in the country’s wartime and immediate postwar politics.
-
D.
EMRO
EMRO is the World Health Organization’s regional office responsible for public health coordination and support across the Eastern Mediterranean region.
-
E.
AEP
AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
- 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: EPMO Triple: [Warsaw Modlin Airport, ICAOcode, EPMO]
Generated description
EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EPMO Target entity description: EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
-
A.
EOP
EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
-
B.
EOPSS
EOPSS is the Massachusetts state agency responsible for overseeing public safety, law enforcement, emergency management, and related security functions.
-
C.
EAM
EAM was a major Greek resistance organization during World War II that fought against Axis occupation and played a key role in the country’s wartime and immediate postwar politics.
-
D.
EMRO
EMRO is the World Health Organization’s regional office responsible for public health coordination and support across the Eastern Mediterranean region.
-
E.
AEP
AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0156c8c819083e3e3b6ede1e951 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65605fa481908ac5b9d837600626 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae669aa29c81909770cd69d27c274c |
completed | March 9, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66fb7f1c8190b2bc306f06c423f1 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:47 p.m.