Triple
T7017013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hoolock gibbon |
E162721
|
entity |
| Predicate | typicalCanopyLevel |
P61871
|
FINISHED |
| Object | upper 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: upper canopy | Statement: [hoolock gibbon, typicalCanopyLevel, upper canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCanopyLevel Context triple: [hoolock gibbon, typicalCanopyLevel, upper canopy]
-
A.
canopyPosition
chosen
Indicates the relative location or layer an entity occupies within a canopy structure (e.g., upper, middle, or lower canopy).
-
B.
hasCanopyDensity
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
-
C.
hasCanopy
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
D.
typicalElevationRange
Indicates the usual range of elevation values within which something commonly occurs or exists.
-
E.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.