Triple
T26217890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne |
E655678
|
entity |
| Predicate | associatedWithFlower |
P68196
|
FINISHED |
| Object | lily |
—
|
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: lily | Statement: [Suzanne, associatedWithFlower, lily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFlower Context triple: [Suzanne, associatedWithFlower, lily]
-
A.
belongsToFloralKingdom
Indicates that something is classified as part of the floral kingdom, typically encompassing plants and related botanical life forms.
-
B.
sharesFloralElementsWith
Indicates that two entities have flowers or floral structures with similar or overlapping elements, such as shapes, patterns, or component parts.
-
C.
associatedFlora
Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
-
D.
hasFloralFeature
chosen
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
E.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
Created at: April 26, 2026, 8:55 p.m.