Triple
T13323016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London plane tree |
E317360
|
entity |
| Predicate | shadeProvision |
P109524
|
FINISHED |
| Object | broad shady canopy |
—
|
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: broad shady canopy | Statement: [London plane tree, shadeProvision, broad shady canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shadeProvision Context triple: [London plane tree, shadeProvision, broad shady canopy]
-
A.
shadeColor
Indicates that one entity has a specific shade or variation of color associated with it.
-
B.
shaded
Indicates that one entity partially or fully blocks light from reaching another, resulting in the latter being in shadow.
-
C.
shadeMaterial
Indicates that one entity serves as the material or substance used to provide shade for another entity.
-
D.
blocksLightFrom
Indicates that one entity obstructs or prevents light from reaching another entity.
-
E.
sunRequirement
Indicates the amount or type of sunlight an entity (such as a plant or object) needs or is designed to receive.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:30 p.m.