Triple
T28855827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoplestigmataceae |
E728730
|
entity |
| Predicate | hasWoodyHabit |
P55352
|
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: [Hoplestigmataceae, hasWoodyHabit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWoodyHabit Context triple: [Hoplestigmataceae, hasWoodyHabit, true]
-
A.
isWoodyPlant
chosen
Indicates that the subject is a plant characterized by persistent, woody stems or trunks that remain above ground year-round.
-
B.
hasGrowthHabit
Indicates the characteristic way in which an organism typically grows or develops in form or structure.
-
C.
isNonWoody
Indicates that an entity lacks woody tissue or characteristics, typically being herbaceous or soft-stemmed rather than woody.
-
D.
treeHabit
Indicates the growth form or structural habit characteristic of a tree, such as its typical shape, branching pattern, or overall stature.
-
E.
isConifer
Indicates that the subject is a coniferous plant, typically bearing cones and having needle-like or scale-like evergreen leaves.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 28, 2026, 6:45 a.m.