Triple
T262042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo |
E5560
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Haneda Airport
Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
|
E35463
|
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: Haneda Airport | Statement: [Tokyo, contains, Haneda Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haneda Airport Context triple: [Tokyo, contains, Haneda Airport]
-
A.
Kansai International Airport
Kansai International Airport is a major international airport in Japan built on an artificial island in Osaka Bay, serving as a key gateway to the Kansai region.
-
B.
Kobe Airport
Kobe Airport is a regional airport located on an artificial island off the coast of Kobe, Japan, primarily serving domestic flights.
-
C.
Osaka International Airport
Osaka International Airport is a major Japanese airport serving the Osaka metropolitan area, primarily handling domestic flights and known locally as Itami Airport.
-
D.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
E.
Port of Kobe
The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
- 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: Haneda Airport Triple: [Tokyo, contains, Haneda Airport]
Generated description
Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haneda Airport Target entity description: Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
-
A.
Kansai International Airport
Kansai International Airport is a major international airport in Japan built on an artificial island in Osaka Bay, serving as a key gateway to the Kansai region.
-
B.
Kobe Airport
Kobe Airport is a regional airport located on an artificial island off the coast of Kobe, Japan, primarily serving domestic flights.
-
C.
Osaka International Airport
Osaka International Airport is a major Japanese airport serving the Osaka metropolitan area, primarily handling domestic flights and known locally as Itami Airport.
-
D.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
E.
Port of Kobe
The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d7428dc8190ae12b12a21fcc6cb |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f4e35688190b8c8714c7f06c6ee |
completed | March 1, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69a390159ac08190892a67e906b33df3 |
completed | March 1, 2026, 1:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3907070fc8190891fac451c8f7fad |
completed | March 1, 2026, 1:03 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.