Triple
T232581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American black bear |
E4438
|
entity |
| Predicate | rangeTrend |
P5318
|
FINISHED |
| Object | expanding in some regions |
—
|
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: expanding in some regions | Statement: [American black bear, rangeTrend, expanding in some regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeTrend Context triple: [American black bear, rangeTrend, expanding in some regions]
-
A.
range
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
-
B.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
C.
rangeCapability
Indicates the maximum distance or extent over which an entity can effectively operate, function, or exert its effect.
-
D.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
E.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.