Triple
T1247032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiji Shrine |
E26789
|
entity |
| Predicate | treesDonatedFrom |
P499
|
FINISHED |
| Object | all over Japan |
—
|
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: all over Japan | Statement: [Meiji Shrine, treesDonatedFrom, all over Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treesDonatedFrom Context triple: [Meiji Shrine, treesDonatedFrom, all over Japan]
-
A.
hasTrees
Indicates that something possesses or contains one or more trees.
-
B.
hasCommemorativePlanting
Indicates that an entity has a specific plant or planting established to commemorate or honor a person, event, or occasion.
-
C.
nationalTree
Indicates that a particular tree species is officially designated as the national tree of a country or region.
-
D.
donated
chosen
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
-
E.
notableTreeSpecies
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf6750a48190b86e9248ed54d90a |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.