Triple
T34016774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Hachirogata |
E872267
|
entity |
| Predicate | reclamationPurpose |
P138609
|
FINISHED |
| Object | agricultural land creation |
—
|
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: agricultural land creation | Statement: [Lake Hachirogata, reclamationPurpose, agricultural land creation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reclamationPurpose Context triple: [Lake Hachirogata, reclamationPurpose, agricultural land creation]
-
A.
reclamationUse
chosen
Indicates the use or intended use of something specifically for reclamation, restoration, or recovery purposes.
-
B.
reclamationActivity
Indicates activities undertaken to restore, recover, or rehabilitate land, resources, or environments from a degraded, disturbed, or previously used state.
-
C.
reclamationForm
Indicates that an entity is associated with a specific form or document used to request or process reclamation (e.g., recovery, return, or restoration of something).
-
D.
reservoirUse
Indicates the way a reservoir is utilized or the purpose for which its stored water is used.
-
E.
reclamationDepictedIn
Indicates that an act or process of reclamation is visually or symbolically represented within a given work or depiction.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:51 a.m.