Triple
T8048079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran Imam Khomeini International Airport |
E187603
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | IKA |
E187603
|
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: IKA | Statement: [Tehran Imam Khomeini International Airport, IATA code, IKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IKA Context triple: [Tehran Imam Khomeini International Airport, IATA code, IKA]
-
A.
IKA
chosen
IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
-
B.
IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
-
C.
Iki
Iki is one of the signature illumination themes of Tokyo Skytree, featuring an elegant, cool-toned lighting design inspired by traditional Edo aesthetics.
-
D.
Iken
Iken is a village in Suffolk, England, known for its ancient church and association with the Anglo-Saxon saint Botwulf (St Botolph).
-
E.
Ikaalinen
Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7711f48190af2002533c2e426a |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5716934481908ec60cc9fd825ad7 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:24 p.m.