Triple
T21684990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 長門国豊浦郡下関 |
E535206
|
entity |
| Predicate | 旧国名 |
P145446
|
FINISHED |
| Object | 長門国 |
—
|
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: 長門国 | Statement: [長門国豊浦郡下関, 旧国名, 長門国]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 旧国名 Context triple: [長門国豊浦郡下関, 旧国名, 長門国]
-
A.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
-
B.
countryBeforeOccupation
Indicates that an entity was recognized as a country prior to a specified occupation or takeover event.
-
C.
preColonialNameFor
Indicates that one name was used for something in the pre-colonial period and refers to the same entity later known by a different (typically colonial or post-colonial) name.
-
D.
mainlandNameAfterUnion
Indicates that the predicate links an entity to the name used for its mainland territory after a political or administrative union has taken place.
-
E.
countryBefore1940
Indicates that the specified country existed or was recognized as such prior to the year 1940.
- F. None of above. chosen
Provenance (4 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:44 p.m.