Triple
T8037493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okayama |
E187143
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Land of Sunshine
Land of Sunshine is a popular nickname for Okayama Prefecture in Japan, known for its mild climate and high number of sunny days.
|
E708599
|
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: Land of Sunshine | Statement: [Okayama, hasNickname, Land of Sunshine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Land of Sunshine Context triple: [Okayama, hasNickname, Land of Sunshine]
-
A.
City of Sunshine
City of Sunshine is the popular nickname of Szeged, a major city in southern Hungary renowned for its exceptionally sunny climate.
-
B.
Holidays in the Sun
"Holidays in the Sun" is a 1977 punk rock single by the Sex Pistols, known for its aggressive sound and politically charged lyrics reflecting Cold War-era tensions.
-
C.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
D.
Sunshine
Sunshine is a song that forms part of the music release "Tender Lover."
-
E.
Sunshine
"Sunshine" is a 2007 science fiction thriller film directed by Danny Boyle about a crew’s perilous mission to reignite the dying sun, featuring Cillian Murphy in a leading role.
- 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: Land of Sunshine Triple: [Okayama, hasNickname, Land of Sunshine]
Generated description
Land of Sunshine is a popular nickname for Okayama Prefecture in Japan, known for its mild climate and high number of sunny days.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Land of Sunshine Target entity description: Land of Sunshine is a popular nickname for Okayama Prefecture in Japan, known for its mild climate and high number of sunny days.
-
A.
City of Sunshine
City of Sunshine is the popular nickname of Szeged, a major city in southern Hungary renowned for its exceptionally sunny climate.
-
B.
Holidays in the Sun
"Holidays in the Sun" is a 1977 punk rock single by the Sex Pistols, known for its aggressive sound and politically charged lyrics reflecting Cold War-era tensions.
-
C.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
D.
Sunshine
Sunshine is a song that forms part of the music release "Tender Lover."
-
E.
Sunshine
"Sunshine" is a track by Pusha T from his 2015 prelude album *King Push – Darkest Before Dawn: The Prelude*, known for its dark, politically charged lyricism and atmospheric production.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56fa97ac8190a0bd646d9ec345e4 |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc58abd96c8190ab9eeaece67d5408 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cc2f71081909cb7c0c245368edb |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:23 p.m.