Triple
T4940011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signy Island |
E110903
|
entity |
| Predicate | hasImportantBirdAreaStatus |
P38862
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Signy Island, hasImportantBirdAreaStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantBirdAreaStatus Context triple: [Signy Island, hasImportantBirdAreaStatus, true]
-
A.
recognizedAsImportantBirdArea
chosen
Indicates that a location has been officially designated as an Important Bird Area due to its significance for bird conservation.
-
B.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
C.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
D.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
-
E.
hasBiodiversitySignificance
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708a3dcc81908b6628864fe0db0a |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.