Triple
T15633579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nankai segment |
E375879
|
entity |
| Predicate | hazardPlanningFocusFor |
P74331
|
FINISHED |
| Object | Japanese disaster management agencies |
—
|
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: Japanese disaster management agencies | Statement: [Nankai segment, hazardPlanningFocusFor, Japanese disaster management agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hazardPlanningFocusFor Context triple: [Nankai segment, hazardPlanningFocusFor, Japanese disaster management agencies]
-
A.
emergencyPlanningFocus
chosen
Indicates that the primary emphasis or subject of emergency planning activities is directed toward a particular entity or aspect.
-
B.
hazardScope
Indicates the range or extent within which a particular hazard is relevant, applicable, or has effect.
-
C.
hazardManagementConcern
Indicates a relationship where one entity is a source, subject, or focus of concern regarding the identification, assessment, or control of hazards by another entity.
-
D.
hazardType
Indicates the specific kind or category of hazard associated with an entity or situation.
-
E.
hasEmergencyPlanningZone
Indicates that an entity is associated with a designated emergency planning zone within which specific preparedness and response measures apply.
- 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_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. |
Created at: April 10, 2026, 4:14 a.m.