Triple
T12134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mojave Desert |
E246
|
entity |
| Predicate | vegetationType |
P953
|
FINISHED |
| Object | Joshua tree (Yucca brevifolia) woodlands |
—
|
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: Joshua tree (Yucca brevifolia) woodlands | Statement: [Mojave Desert, vegetationType, Joshua tree (Yucca brevifolia) woodlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vegetationType Context triple: [Mojave Desert, vegetationType, Joshua tree (Yucca brevifolia) woodlands]
-
A.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
envisionedAs
Indicates that one entity is mentally pictured, imagined, or conceived in terms of another entity or role.
-
D.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
E.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fe7da8c8190aea795b62cb91621 |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a241e933288190b02ef5369f7b8834 |
completed | Feb. 28, 2026, 1:16 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.