Triple
T3122618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horseshoe Lake (Mammoth Lakes, California) |
E65219
|
entity |
| Predicate | hasVegetationIssue |
P45495
|
FINISHED |
| Object | large area of dead and dying trees |
—
|
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: large area of dead and dying trees | Statement: [Horseshoe Lake (Mammoth Lakes, California), hasVegetationIssue, large area of dead and dying trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVegetationIssue Context triple: [Horseshoe Lake (Mammoth Lakes, California), hasVegetationIssue, large area of dead and dying trees]
-
A.
vegetation
Indicates that an area or object is covered with, contains, or is characterized by plant life.
-
B.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
C.
hasMajorPlant
Indicates that one entity possesses or hosts a primary or most significant plant facility or installation in relation to another entity.
-
D.
hasLandscaping
Indicates that an entity possesses or is associated with designed outdoor grounds or landscape features.
-
E.
hasTreeVigor
Indicates the assessed strength, health, and growth potential of a tree in relation to its current condition or environment.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52ab05c819088204bbb608c837c |
completed | March 8, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.