Triple
T14603230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isfahan International Airport |
E342753
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Qeshm Air |
E192414
|
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: Qeshm Air | Statement: [Isfahan International Airport, usedBy, Qeshm Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qeshm Air Context triple: [Isfahan International Airport, usedBy, Qeshm Air]
-
A.
Qeshm Air
chosen
Qeshm Air is an Iranian airline that operates domestic and regional flights, primarily serving routes within Iran and to nearby international destinations.
-
B.
Varesh Airlines
Varesh Airlines is an Iranian airline that operates domestic and regional flights, using Mashhad International Airport as one of its main operational bases.
-
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 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.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde169eb6481909d7fac6d984a2af1 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:25 a.m.