Triple
T24790247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 広陵高等学校 |
E620231
|
entity |
| Predicate | 所在国コード |
P42506
|
FINISHED |
| Object | JP |
—
|
LITERAL 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: JP | Statement: [広陵高等学校, 所在国コード, JP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在国コード Context triple: [広陵高等学校, 所在国コード, JP]
-
A.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
B.
postalCountry
Indicates the country associated with an entity’s postal or mailing address.
-
C.
associatedCountryCode
chosen
Indicates that there is a relationship linking something to the country identified by the given country code.
-
D.
FIPSCountryCode
Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
-
E.
parentCountryCode
Indicates that the value is the standardized country code of the country that has jurisdiction or primary association over the referenced entity.
- F. None of above.
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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f41102028081909cde16f6e80bc321 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:47 a.m.