Triple
T31633754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria waterlily |
E807240
|
entity |
| Predicate | leafMarginFeature |
P576
|
FINISHED |
| Object | upturned rim |
—
|
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: upturned rim | Statement: [Victoria waterlily, leafMarginFeature, upturned rim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafMarginFeature Context triple: [Victoria waterlily, leafMarginFeature, upturned rim]
-
A.
leafMargin
chosen
Indicates the type or pattern of the edge or border of a leaf (e.g., smooth, serrated, lobed).
-
B.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
C.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
-
D.
margining
Indicates the process of posting, adjusting, or settling collateral (margin) between parties to secure obligations in a financial transaction or trading relationship.
-
E.
leafPosition
Indicates the spatial or structural placement of a leaf relative to its supporting plant organ or axis.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8e6ed208190a58f1cfd8ea441f4 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:46 p.m.