Triple
T29866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | giant sequoia |
E596
|
entity |
| Predicate | barkThickness |
P619
|
FINISHED |
| Object | up to about 60 centimeters |
—
|
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: up to about 60 centimeters | Statement: [giant sequoia, barkThickness, up to about 60 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barkThickness Context triple: [giant sequoia, barkThickness, up to about 60 centimeters]
-
A.
barkTexture
Indicates the characteristic surface quality or pattern of an entity’s bark.
-
B.
seal
Indicates that an agent closes or fastens something so that it is securely shut and often airtight or watertight.
-
C.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
D.
width
chosen
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
E.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486d40348190b2d21fc444f499a6 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.