Triple
T5470917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin Tree |
E122829
|
entity |
| Predicate | isSubjectToConservation |
P25140
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Franklin Tree, isSubjectToConservation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubjectToConservation Context triple: [Franklin Tree, isSubjectToConservation, true]
-
A.
typeOfConservation
Indicates the specific kind or category of conservation practice, method, or approach that applies to an entity or situation.
-
B.
hasConservationPriority
Indicates that an entity is assigned a particular level or status of importance for conservation or protection efforts.
-
C.
hasConservationMeasure
chosen
Indicates that a specific conservation action, policy, or measure is applied to or associated with an entity to protect or manage it.
-
D.
hasConservationLand
Indicates that an entity possesses, manages, or is associated with land designated for environmental or natural resource conservation.
-
E.
stateOfConservation
Indicates the condition or preservation status of an entity, typically in terms of how intact, degraded, or at risk it is.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.