Triple
T3729000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran Air |
E79016
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | IRANAIR |
E79016
|
NE FINISHED |
How this triple was built (2 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: IRANAIR | Statement: [Iran Air, callsign, IRANAIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IRANAIR Context triple: [Iran Air, callsign, IRANAIR]
-
A.
Iran Air
chosen
Iran Air is the national flag carrier airline of Iran, operating domestic and international passenger and cargo services across the Middle East, Europe, and Asia.
-
B.
Iran Aseman Airlines
Iran Aseman Airlines is an Iranian airline headquartered in Tehran that operates domestic and regional flights across the Middle East and surrounding regions.
-
C.
Karun Airlines
Karun Airlines is an Iranian airline that operates passenger and cargo services, primarily based in Tehran.
-
D.
Caspian Airlines
Caspian Airlines is an Iranian passenger airline operating domestic and regional flights, with a primary hub at Tehran Imam Khomeini International Airport.
-
E.
Iran Airports and Air Navigation Company
Iran Airports and Air Navigation Company is Iran’s state-owned enterprise responsible for managing and operating the country’s civil airports and air navigation services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb17432881909390284b935ed3fd |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db13d34881909fa74c682184b797 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.