Triple
T4981651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kivalina |
E111898
|
entity |
| Predicate | hasAdaptationMeasure |
P60135
|
FINISHED |
| Object | coastal protection structures |
—
|
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: coastal protection structures | Statement: [Kivalina, hasAdaptationMeasure, coastal protection structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationMeasure Context triple: [Kivalina, hasAdaptationMeasure, coastal protection structures]
-
A.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
B.
hasWorkAdaptation
Indicates that an entity has a modified, adjusted, or alternative form specifically adapted for use in a work or professional context.
-
C.
adoptedMeasure
Indicates that an entity has formally accepted and put into effect a specific measure, policy, or course of action.
-
D.
hasAdaptationStrategy
chosen
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
E.
usedInAdaptation
Indicates that something (such as a character, plot element, or work) is incorporated or appears within an adaptation of another original source.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71492dec8190af4c27a3043b35cc |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.