Triple
T22139803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 斎藤春子 |
E547125
|
entity |
| Predicate | 活動地 |
P137759
|
FINISHED |
| Object | 日本 |
—
|
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: 日本 | Statement: [斎藤春子, 活動地, 日本]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 活動地 Context triple: [斎藤春子, 活動地, 日本]
-
A.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
B.
possiblePlaceOfActivity
chosen
Indicates that a location is a plausible or candidate site where the referenced entity may carry out or have carried out an activity.
-
C.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
D.
tourismEvent
Indicates an event or activity that is organized for or significantly involves tourism, attracting visitors for leisure, cultural, or recreational purposes.
-
E.
takesPlaceInRegion
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bda1208190b851ae5c68b760e9 |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.