Triple
T15770152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrifran Glen |
E382329
|
entity |
| Predicate | restorationApproach |
P91880
|
FINISHED |
| Object | large-scale tree planting |
—
|
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-scale tree planting | Statement: [Carrifran Glen, restorationApproach, large-scale tree planting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restorationApproach Context triple: [Carrifran Glen, restorationApproach, large-scale tree planting]
-
A.
restorationType
Indicates the specific kind or category of restoration applied to an entity, such as the method, scope, or approach used to return it to a prior or improved state.
-
B.
hasRestorationApproach
chosen
Indicates the method or strategy used to restore or rehabilitate something to a desired state.
-
C.
restorationProject
Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
-
D.
restorationBehavior
Indicates actions or processes aimed at returning something to a previous, original, or improved state after damage, loss, or degradation.
-
E.
restorationGoal
Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051962fe08190a6201dd48196a9ee |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.