Triple
T32717826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natori City |
E836570
|
entity |
| Predicate | reconstructionFocusArea |
P141049
|
FINISHED |
| Object | Yuriage district |
—
|
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: Yuriage district | Statement: [Natori City, reconstructionFocusArea, Yuriage district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionFocusArea Context triple: [Natori City, reconstructionFocusArea, Yuriage district]
-
A.
restorationFocus
Indicates that the primary attention or effort is directed toward repairing, renewing, or returning something to a previous or improved state.
-
B.
reconstructionWork
Indicates that an entity is engaged in or associated with activities to rebuild, restore, or repair something that was damaged, destroyed, or altered.
-
C.
reconstructionFeature
Indicates that one entity serves as a feature, component, or characteristic used in the reconstruction or restoration of another entity.
-
D.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
-
E.
hasReconstructionFocus
chosen
Indicates that something is primarily concerned with or directed toward the process or goal of reconstruction.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c888bb048190a94465562018ec47 |
completed | May 3, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.