Triple
T8736523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Narita International Airport) |
E207399
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Narita City |
E761465
|
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: Narita City | Statement: [Terminal 2 (Narita International Airport), locatedIn, Narita City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narita City Context triple: [Terminal 2 (Narita International Airport), locatedIn, Narita City]
-
A.
Narita City
chosen
Narita City is a Japanese city in Chiba Prefecture best known internationally as the location of Narita International Airport, one of the main gateways to Tokyo.
-
B.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
C.
Fuji City
Fuji City is an industrial city in Shizuoka Prefecture, Japan, known for its paper manufacturing industry and views of nearby Mount Fuji.
-
D.
Akishima
Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
-
E.
Bunkyō City
Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d44275881909f7eb40b24180294 |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190aa70f0819088998b0e895ea36a |
completed | April 4, 2026, 10:28 p.m. |
Created at: March 30, 2026, 6:38 p.m.