Triple

T4636616
Position Surface form Disambiguated ID Type / Status
Subject Taal Lake E101546 entity
Predicate hazardManagementConcern P57885 FINISHED
Object evacuation of lakeshore communities during eruptions 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: evacuation of lakeshore communities during eruptions | Statement: [Taal Lake, hazardManagementConcern, evacuation of lakeshore communities during eruptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hazardManagementConcern
Context triple: [Taal Lake, hazardManagementConcern, evacuation of lakeshore communities during eruptions]
  • A. hasManagementConcern
    Indicates that one entity has responsibility, authority, or involvement in overseeing, directing, or managing another entity or activity.
  • B. hazardType
    Indicates the specific kind or category of hazard associated with an entity or situation.
  • C. hazardScope
    Indicates the range or extent within which a particular hazard is relevant, applicable, or has effect.
  • D. hasNotableHazard
    Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
  • E. raisedConcernAbout
    Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
  • F. None of above. chosen

Provenance (4 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
PD Predicate disambiguation batch_69bd5233cb5081908807e2b150f0ca06 completed March 20, 2026, 1:57 p.m.
PDg Predicate description generation batch_69bd56f7b94481909f3335312becd446 completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:13 p.m.