Triple
T7471664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kish International Airport |
E176521
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
KIH
KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
|
E667333
|
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: KIH | Statement: [Kish International Airport, IATAcode, KIH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KIH Context triple: [Kish International Airport, IATAcode, KIH]
-
A.
KHiO
KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
-
B.
KIJ
KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
-
C.
KI
KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
-
D.
KI
KI is the vehicle registration code used on license plates for the German city of Kiel.
-
E.
KI
KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
- 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: KIH Triple: [Kish International Airport, IATAcode, KIH]
Generated description
KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KIH Target entity description: KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
-
A.
KHiO
KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
-
B.
KIJ
KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
-
C.
KI
KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
-
D.
KI
KI is the vehicle registration code used on license plates for the German city of Kiel.
-
E.
KI
KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83480a40c8190a7ae3e08022735a1 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835ce5bbc8190b968535c16cfc660 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c836a80eb081908b9937944fe18661 |
completed | March 28, 2026, 8:14 p.m. |
Created at: March 27, 2026, 3:41 p.m.