Triple
T6639638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adélie Coast region |
E150551
|
entity |
| Predicate | isRegionOfInterestIn |
P24244
|
FINISHED |
| Object | climate change studies |
—
|
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: climate change studies | Statement: [Adélie Coast region, isRegionOfInterestIn, climate change studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRegionOfInterestIn Context triple: [Adélie Coast region, isRegionOfInterestIn, climate change studies]
-
A.
regionOfInterest
chosen
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
-
B.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
hasAreaOfInterest
Indicates that an entity possesses or is associated with a particular area of interest or focus.
-
D.
observedInRegion
Indicates that something has been detected, recorded, or seen occurring within a specified geographic or spatial region.
-
E.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 2 p.m.