Triple
T8159877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran Aseman Airlines |
E190548
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
ASEMAN
ASEMAN is the radio callsign used by Iran Aseman Airlines, a regional and domestic carrier based in Iran.
|
E715282
|
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: ASEMAN | Statement: [Iran Aseman Airlines, callsign, ASEMAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASEMAN Context triple: [Iran Aseman Airlines, callsign, ASEMAN]
-
A.
bint Asem
Bint Asem is a member of the Jordanian royal family, known as a Hashemite princess connected to the line of King Abdullah II.
-
B.
Asan
Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
-
C.
ASE
ASE is the Amman Stock Exchange, the principal securities market of Jordan where stocks and other financial instruments are traded.
-
D.
ASMA
ASMA is the acronym for Antarctic Specially Managed Areas, designated regions in Antarctica managed under international agreements to protect environmental, scientific, and other significant values.
-
E.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
- 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: ASEMAN Triple: [Iran Aseman Airlines, callsign, ASEMAN]
Generated description
ASEMAN is the radio callsign used by Iran Aseman Airlines, a regional and domestic carrier based in Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASEMAN Target entity description: ASEMAN is the radio callsign used by Iran Aseman Airlines, a regional and domestic carrier based in Iran.
-
A.
bint Asem
Bint Asem is a member of the Jordanian royal family, known as a Hashemite princess connected to the line of King Abdullah II.
-
B.
Asan
Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
-
C.
ASE
ASE is the Amman Stock Exchange, the principal securities market of Jordan where stocks and other financial instruments are traded.
-
D.
ASMA
ASMA is the acronym for Antarctic Specially Managed Areas, designated regions in Antarctica managed under international agreements to protect environmental, scientific, and other significant values.
-
E.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb45537d248190a0e998b6d336e6e1 |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf2c22f0819085c686c005f49486 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc24c5684819093a4f58616122675 |
completed | April 1, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccc38e85bc8190b0f4b2435a385f47 |
completed | April 1, 2026, 7:04 a.m. |
Created at: March 30, 2026, 5:38 p.m.