Triple
T5077751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Certaldo |
E114438
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Kanramachi
Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
|
E585078
|
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: Kanramachi | Statement: [Certaldo, twinnedWith, Kanramachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanramachi Context triple: [Certaldo, twinnedWith, Kanramachi]
-
A.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
B.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
C.
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.
-
D.
Kumagaya
Kumagaya is a city in northern Saitama Prefecture, Japan, known for its hot summer temperatures and role as a regional commercial and transportation hub.
-
E.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
- 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: Kanramachi Triple: [Certaldo, twinnedWith, Kanramachi]
Generated description
Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanramachi Target entity description: Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
-
A.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
B.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
C.
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.
-
D.
Kumagaya
Kumagaya is a city in northern Saitama Prefecture, Japan, known for its hot summer temperatures and role as a regional commercial and transportation hub.
-
E.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f632788190ac4fd047e1a20485 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3777eac81908880498eaa6c1046 |
completed | March 27, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69c5f8a29c388190a9226367bfdfc082 |
completed | March 27, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f8f3accc81909d87fc4cda30cb05 |
completed | March 27, 2026, 3:26 a.m. |
Created at: March 20, 2026, 1:39 p.m.