Triple
T15818141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | red-cockaded woodpecker |
E383531
|
entity |
| Predicate | prefersTreeGenus |
P120191
|
FINISHED |
| Object | Pinus |
—
|
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: Pinus | Statement: [red-cockaded woodpecker, prefersTreeGenus, Pinus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefersTreeGenus Context triple: [red-cockaded woodpecker, prefersTreeGenus, Pinus]
-
A.
plantGenus
Indicates that one entity is a biological genus to which the plant entity belongs.
-
B.
includesTimberGenus
Indicates that one entity contains or encompasses a timber-related genus as part of its composition or classification.
-
C.
commonTreeType
Indicates that two or more entities share the same type or classification of tree.
-
D.
hasGenus
Indicates that one entity belongs to, or is classified under, the biological genus represented by the other entity.
-
E.
hasScientificNameOfDominantTree
Indicates the scientific (Latin) name of the tree species that is dominant in a given area or context.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a4332c8190bc525e06d6f3a6b4 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:49 a.m.