Triple
T7126524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothenburg ob der Tauber |
E166074
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Uchihara
Uchihara is a Japanese town known internationally through its sister-city partnership with the historic German city of Rothenburg ob der Tauber.
|
E643633
|
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: Uchihara | Statement: [Rothenburg ob der Tauber, twinnedWith, Uchihara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uchihara Context triple: [Rothenburg ob der Tauber, twinnedWith, Uchihara]
-
A.
Uehara
Uehara is a Japanese surname most notably associated with acclaimed jazz pianist and composer Hiromi Uehara.
-
B.
Fukuhara
Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
-
C.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
-
D.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
E.
Sugimoto
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
- 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: Uchihara Triple: [Rothenburg ob der Tauber, twinnedWith, Uchihara]
Generated description
Uchihara is a Japanese town known internationally through its sister-city partnership with the historic German city of Rothenburg ob der Tauber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uchihara Target entity description: Uchihara is a Japanese town known internationally through its sister-city partnership with the historic German city of Rothenburg ob der Tauber.
-
A.
Uehara
Uehara is a Japanese surname most notably associated with acclaimed jazz pianist and composer Hiromi Uehara.
-
B.
Fukuhara
Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
-
C.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
-
D.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
E.
Sugimoto
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64ee8ac81909ee1c7cb1db3af33 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3357e548190bb56c31843c69f95 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a446c5088190908dd7b4cdc57f18 |
completed | March 28, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4fc9f788190b38437c6e91a5f8a |
completed | March 28, 2026, 9:53 a.m. |
Created at: March 27, 2026, 2:44 p.m.