Triple
T9130647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor Tree |
E219075
|
entity |
| Predicate | seedlingsDistributedTo |
P87286
|
FINISHED |
| Object | communities affected by tragedy |
—
|
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: communities affected by tragedy | Statement: [Survivor Tree, seedlingsDistributedTo, communities affected by tragedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seedlingsDistributedTo Context triple: [Survivor Tree, seedlingsDistributedTo, communities affected by tragedy]
-
A.
plantedInYear
Indicates that something was planted or sown in a specific calendar year.
-
B.
seedMass
Indicates the mass or weight associated with a seed in the relationship.
-
C.
seedProduct
Indicates that one entity serves as the original or source product from which another related product is derived or initialized.
-
D.
rootstockOftenGraftedOnto
Indicates that one plant or tree is frequently used as the rootstock onto which another plant or tree is grafted.
-
E.
successorPlanted
Indicates that one entity planted or sowed something after, or as the successor to, another entity’s planting.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.