Triple
T7851981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōnan |
E182077
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hiratsuka |
E584741
|
NE FINISHED |
How this triple was built (2 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: Hiratsuka | Statement: [Shōnan, hasPart, Hiratsuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiratsuka Context triple: [Shōnan, hasPart, Hiratsuka]
-
A.
Hiratsuka
chosen
Hiratsuka is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, manufacturing industry, and the annual Tanabata Festival.
-
B.
Hirano
Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
-
C.
Ichikawa
Ichikawa is a city in Chiba Prefecture, Japan, located just east of Tokyo and known as a residential and commercial hub within the Greater Tokyo Area.
-
D.
Kitasato
Kitasato is a Japanese surname most notably associated with pioneering bacteriologist Shibasaburo Kitasato.
-
E.
Satō
Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ec48548190960bd564a60effa8 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b161a4881909641f3a29c1650b4 |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:51 p.m.