Triple
T19904805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abies |
E478384
|
entity |
| Predicate | photosyntheticOrganArrangement |
P575
|
FINISHED |
| Object | spirally arranged needles |
—
|
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: spirally arranged needles | Statement: [Abies, photosyntheticOrganArrangement, spirally arranged needles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosyntheticOrganArrangement Context triple: [Abies, photosyntheticOrganArrangement, spirally arranged needles]
-
A.
leafArrangement
chosen
Indicates how leaves are positioned or organized on a plant’s stem or branches.
-
B.
photosyntheticTissue
Indicates that an entity has tissue capable of performing photosynthesis, converting light energy into chemical energy.
-
C.
photosyntheticOrgan
Indicates that an entity is an organ specialized for performing photosynthesis in an organism.
-
D.
cellArrangement
Indicates how cells are organized or positioned relative to each other within a structure or system.
-
E.
photosyntheticOrganism
Indicates that an organism performs photosynthesis, converting light energy into chemical energy to sustain itself.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65945cc2081908224902d5f042d7a |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.