Triple
T14286041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grizzly Giant |
E354177
|
entity |
| Predicate | hasCrownShape |
P96825
|
FINISHED |
| Object | irregular spreading crown |
—
|
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: irregular spreading crown | Statement: [Grizzly Giant, hasCrownShape, irregular spreading crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrownShape Context triple: [Grizzly Giant, hasCrownShape, irregular spreading crown]
-
A.
hasCrownCount
Indicates the number of crowns that an entity possesses or is associated with.
-
B.
crownCharacteristic
chosen
Indicates that an entity has a particular property, feature, or quality specifically associated with its crown.
-
C.
crownType
Indicates the specific style or form of a crown associated with an entity.
-
D.
crownContains
Indicates that a crown includes or holds within it a specified object, element, or component.
-
E.
hasCrownName
Indicates that an entity possesses or is identified by a specific crown name, typically used as an official or regal title.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.