Triple
T4322942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romneya coulteri |
E96559
|
entity |
| Predicate | isShowy |
P56233
|
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: [Romneya coulteri, isShowy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShowy Context triple: [Romneya coulteri, isShowy, true]
-
A.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
B.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
C.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
D.
visibleAt
Indicates that one entity can be seen or perceived from a specific location, viewpoint, or context at a given time.
-
E.
isIconicIn
Indicates that something is widely recognized as a defining or emblematic example within a particular context, domain, or location.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3501834448190bedf775a80da4778 |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:12 p.m.