Triple
T12422280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostafyevo International Airport |
E296804
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
UUMO
UUMO is the ICAO airport code assigned to Ostafyevo International Airport near Moscow, Russia.
|
E981544
|
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: UUMO | Statement: [Ostafyevo International Airport, hasICAOcode, UUMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UUMO Context triple: [Ostafyevo International Airport, hasICAOcode, UUMO]
-
A.
UMM
UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
-
B.
UMM
UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
-
C.
UMA
UMA is a regional public university in Augusta, Maine, offering a range of undergraduate and professional programs with a focus on accessibility and nontraditional students.
-
D.
UMA
UMA is the acronym for the Arab Maghreb Union, a regional organization aimed at promoting economic and political cooperation among North African countries.
-
E.
UMA
UMA is the abbreviated name for the Unidad de Medios Aéreos, a specialized aerial media or air support unit typically involved in surveillance, transport, and operational support missions.
- 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: UUMO Triple: [Ostafyevo International Airport, hasICAOcode, UUMO]
Generated description
UUMO is the ICAO airport code assigned to Ostafyevo International Airport near Moscow, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UUMO Target entity description: UUMO is the ICAO airport code assigned to Ostafyevo International Airport near Moscow, Russia.
-
A.
UMM
UMM is a private Islamic university in Malang, Indonesia, affiliated with the Muhammadiyah organization and known for its wide range of academic programs.
-
B.
UMM
UMM is a small public liberal arts college campus of the University of Minnesota system located in Morris, Minnesota.
-
C.
UMA
UMA is the acronym for the Arab Maghreb Union, a regional organization aimed at promoting economic and political cooperation among North African countries.
-
D.
UMA
UMA is a regional public university in Augusta, Maine, offering a range of undergraduate and professional programs with a focus on accessibility and nontraditional students.
-
E.
UMA
UMA is the abbreviated name for the Unidad de Medios Aéreos, a specialized aerial media or air support unit typically involved in surveillance, transport, and operational support missions.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d702b1481909db5f5bed6292ce0 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349552fc81909fe73dea082e3a25 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6356c21908190b34d1324da8f8052 |
completed | May 2, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63697d5b8819094728df472eb1914 |
completed | May 2, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:55 p.m.