Triple
T15633469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 Tonankai earthquake |
E375877
|
entity |
| Predicate | mainlyAffectedPrefecture |
P119535
|
FINISHED |
| Object | Mie Prefecture |
—
|
NE NERFINISHED |
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: Mie Prefecture | Statement: [1944 Tonankai earthquake, mainlyAffectedPrefecture, Mie Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyAffectedPrefecture Context triple: [1944 Tonankai earthquake, mainlyAffectedPrefecture, Mie Prefecture]
-
A.
prefectureOfHeadquarters
Indicates the administrative prefecture in which an organization's headquarters is located.
-
B.
partOfPrefecture
Indicates that one entity is a subdivision or component that belongs administratively or geographically to a given prefecture.
-
C.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
D.
accessPrefecture
Indicates that an entity has access to, or is associated with accessing, a specific prefecture.
-
E.
hostPrefecture
Indicates the prefecture that serves as the host location for an event, activity, or entity.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.