Triple
T2242912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexington, Kentucky |
E49435
|
entity |
| Predicate | sisterCity |
P1072
|
FINISHED |
| Object |
Shinhidaka, Japan
Shinhidaka is a town in Hokkaido, Japan, known for its horse breeding industry and scenic rural landscapes.
|
E250065
|
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: Shinhidaka, Japan | Statement: [Lexington, Kentucky, sisterCity, Shinhidaka, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinhidaka, Japan Context triple: [Lexington, Kentucky, sisterCity, Shinhidaka, Japan]
-
A.
Tsuyama, Japan
Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
-
B.
Oppama, Japan
Oppama, Japan is an industrial coastal district in Yokosuka, Kanagawa Prefecture, best known for its major Nissan automobile manufacturing plant.
-
C.
Fujinomiya, Japan
Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
-
D.
Kizugawa, Japan
Kizugawa, Japan is a city in southern Kyoto Prefecture known for its blend of historical sites, residential communities, and growing technology-related industries.
-
E.
Kakegawa, Japan
Kakegawa, Japan is a city in Shizuoka Prefecture known for its historic castle, green tea production, and scenic views of Mount Fuji.
- 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: Shinhidaka, Japan Triple: [Lexington, Kentucky, sisterCity, Shinhidaka, Japan]
Generated description
Shinhidaka is a town in Hokkaido, Japan, known for its horse breeding industry and scenic rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinhidaka, Japan Target entity description: Shinhidaka is a town in Hokkaido, Japan, known for its horse breeding industry and scenic rural landscapes.
-
A.
Tsuyama, Japan
Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
-
B.
Oppama, Japan
Oppama, Japan is an industrial coastal district in Yokosuka, Kanagawa Prefecture, best known for its major Nissan automobile manufacturing plant.
-
C.
Fujinomiya, Japan
Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
-
D.
Kizugawa, Japan
Kizugawa, Japan is a city in southern Kyoto Prefecture known for its blend of historical sites, residential communities, and growing technology-related industries.
-
E.
Kakegawa, Japan
Kakegawa, Japan is a city in Shizuoka Prefecture known for its historic castle, green tea production, and scenic views of Mount Fuji.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c017548190a71fb4a0e2a8189f |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71bfb47881908c93333a9e808420 |
completed | March 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69ae739342108190a14f7640228319ea |
completed | March 9, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae74eb89448190895fab4a493c6d08 |
completed | March 9, 2026, 7:21 a.m. |
Created at: March 4, 2026, 7:47 p.m.