Triple
T165571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Sherman Tree |
E3006
|
entity |
| Predicate | isMonumentalTree |
P5646
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [General Sherman Tree, isMonumentalTree, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMonumentalTree Context triple: [General Sherman Tree, isMonumentalTree, true]
-
A.
isMassive
Indicates that one entity has an extremely large size, scale, or extent relative to typical or comparable entities.
-
B.
notableTreeSpecies
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
C.
maximumTrunkDiameter
Indicates the largest thickness of a trunk measured across its widest point.
-
D.
hasMajorForest
Indicates that an entity possesses or contains a large, significant forested area.
-
E.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25883ac8481909616b2179561bd98 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25664ba8081908ac298511a9fc5ba |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256eb46ec81909c730000e5041d0d |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.