Triple
T38630453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prestvannet nature area |
E937435
|
entity |
| Predicate | hasTypeOfWildlife |
P201745
|
FINISHED |
| Object | birds |
—
|
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: birds | Statement: [Prestvannet nature area, hasTypeOfWildlife, birds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfWildlife Context triple: [Prestvannet nature area, hasTypeOfWildlife, birds]
-
A.
hasWildlifeCharacteristic
Indicates that an entity possesses a particular trait, feature, or quality related to wildlife.
-
B.
hasWildlifeStatus
Indicates the conservation or protection status assigned to wildlife associated with an entity.
-
C.
hasWildlifeSite
Indicates that a location or entity possesses, contains, or is designated as a wildlife site.
-
D.
hasWildlifeActivity
Indicates that wildlife is present in the area and engaging in observable behaviors or movements.
-
E.
hasWildlifeIssue
Indicates that an entity is affected by, involved in, or responsible for a problem or conflict related to wildlife.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_6a0019b009a481908d09ef90b693a466 |
completed | May 10, 2026, 5:37 a.m. |
Created at: May 3, 2026, 4:32 p.m.