Triple

T35171662
Position Surface form Disambiguated ID Type / Status
Subject Bangladeshi coast E1015558 entity
Predicate adaptationMeasure P53420 FINISHED
Object construction of coastal embankments 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: construction of coastal embankments | Statement: [Bangladeshi coast, adaptationMeasure, construction of coastal embankments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adaptationMeasure
Context triple: [Bangladeshi coast, adaptationMeasure, construction of coastal embankments]
  • A. adaptationType
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • B. adaptationIn
    Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
  • C. adoptedMeasure chosen
    Indicates that an entity has formally accepted and put into effect a specific measure, policy, or course of action.
  • D. adaptation
    Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
  • E. adaptationInvolvedIn
    Indicates that an adaptation process plays a causal or functional role in bringing about or participating in a specified biological or system-level outcome.
  • 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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78d7211a48190bfb59c406f0bf12f completed May 3, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69f78b9106008190930b3b3675b737d6 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.