Triple
T6714759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuernavaca |
E153238
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object |
Nishio
Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
|
E685519
|
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: Nishio | Statement: [Cuernavaca, hasSisterCity, Nishio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishio Context triple: [Cuernavaca, hasSisterCity, Nishio]
-
A.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
B.
Mitaka
Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
-
C.
Nishi
Nishi is a Japanese surname borne by various notable figures in fields such as philosophy, politics, and the arts.
-
D.
Munakata
Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
-
E.
Shirokane
Shirokane is an upscale residential district in Minato, Tokyo, known for its quiet, leafy streets, luxury apartments, and proximity to central business and shopping 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: Nishio Triple: [Cuernavaca, hasSisterCity, Nishio]
Generated description
Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nishio Target entity description: Nishio is a city in Aichi Prefecture, Japan, known for its high-quality matcha green tea production and traditional Japanese culture.
-
A.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
B.
Mitaka
Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
-
C.
Nishi
Nishi is a Japanese surname borne by various notable figures in fields such as philosophy, politics, and the arts.
-
D.
Munakata
Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
-
E.
Shirokane
Shirokane is an upscale residential district in Minato, Tokyo, known for its quiet, leafy streets, luxury apartments, and proximity to central business and shopping 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d122d6cc81909bde0c94fb95f016 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be0bdd2881909b5bea69765d696f |
completed | March 29, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69c8bf487b7c819096c63772c8220341 |
completed | March 29, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bfadc0888190b8c350a55d004980 |
completed | March 29, 2026, 5:59 a.m. |
Created at: March 27, 2026, 2:07 p.m.