Triple
T21361826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishikawa Prefecture |
E526799
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Noto Airport
Noto Airport is a regional airport in Japan serving the Noto Peninsula area of Ishikawa Prefecture.
|
E1483515
|
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: Noto Airport | Statement: [Ishikawa Prefecture, hasAirport, Noto Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noto Airport Context triple: [Ishikawa Prefecture, hasAirport, Noto Airport]
-
A.
Katunayake Airport
Katunayake Airport, now known as Bandaranaike International Airport, is the main international gateway to Sri Lanka located near Colombo.
-
B.
Pico Airport
Pico Airport is a regional airport in the Azores archipelago of Portugal that serves Pico Island with domestic flights and limited international connections.
-
C.
Moruya Airport
Moruya Airport is a regional airport in New South Wales, Australia, providing air transport services for the town of Moruya and the surrounding Eurobodalla region.
-
D.
Injune Airport
Injune Airport is a small regional airfield serving the rural town of Injune in Queensland, Australia.
-
E.
Nakashibetsu Airport
Nakashibetsu Airport is a regional airport in eastern Hokkaido, Japan, serving as an air gateway to the Nemuro and Shiretoko areas.
- 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: Noto Airport Triple: [Ishikawa Prefecture, hasAirport, Noto Airport]
Generated description
Noto Airport is a regional airport in Japan serving the Noto Peninsula area of Ishikawa Prefecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noto Airport Target entity description: Noto Airport is a regional airport in Japan serving the Noto Peninsula area of Ishikawa Prefecture.
-
A.
Katunayake Airport
Katunayake Airport, now known as Bandaranaike International Airport, is the main international gateway to Sri Lanka located near Colombo.
-
B.
Pico Airport
Pico Airport is a regional airport in the Azores archipelago of Portugal that serves Pico Island with domestic flights and limited international connections.
-
C.
Moruya Airport
Moruya Airport is a regional airport in New South Wales, Australia, providing air transport services for the town of Moruya and the surrounding Eurobodalla region.
-
D.
Injune Airport
Injune Airport is a small regional airfield serving the rural town of Injune in Queensland, Australia.
-
E.
Nakashibetsu Airport
Nakashibetsu Airport is a regional airport in eastern Hokkaido, Japan, serving as an air gateway to the Nemuro and Shiretoko areas.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06b219c81908f7674ae459e7931 |
completed | April 22, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2933f4c819093f9e39fd49f020a |
completed | May 17, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_6a09c38ffc788190b2e1922da2d0cf2d |
completed | May 17, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c41d5e448190b18f8753c05e47cf |
completed | May 17, 2026, 1:35 p.m. |
Created at: April 16, 2026, 5:08 p.m.