Triple
T2437132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EVA Air |
E52986
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
EVA
EVA is the ICAO airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
|
E265985
|
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: EVA | Statement: [EVA Air, ICAOCode, EVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EVA Context triple: [EVA Air, ICAOCode, EVA]
-
A.
EGVA
EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
-
B.
Egvekinot
Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
-
C.
Electryon
Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Antu
Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
- 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: EVA Triple: [EVA Air, ICAOCode, EVA]
Generated description
EVA is the ICAO airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EVA Target entity description: EVA is the ICAO airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
-
A.
EGVA
EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
-
B.
Egvekinot
Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
-
C.
Electryon
Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Antu
Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf7085b88190938c4eefa4380970 |
completed | March 9, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69aec30189d081908bb6865937aff20d |
completed | March 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec39bb6a4819084652814e18f60d4 |
completed | March 9, 2026, 12:56 p.m. |
Created at: March 6, 2026, 9:43 p.m.