Triple
T3183899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasmanian devil |
E66653
|
entity |
| Predicate | currentWildRange |
P30476
|
FINISHED |
| Object | island of Tasmania |
—
|
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: island of Tasmania | Statement: [Tasmanian devil, currentWildRange, island of Tasmania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentWildRange Context triple: [Tasmanian devil, currentWildRange, island of Tasmania]
-
A.
hasWildPopulationOf
chosen
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
B.
lastKnownWildIndividuals
Indicates the most recent recorded individuals of a species that were observed living in the wild.
-
C.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
D.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
E.
lastWildPopulationSite
Indicates the location where the last known wild population of a species was found or persisted.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.