Triple
T17044416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serliana |
E413526
|
entity |
| Predicate | isTypicallySupportedBy |
P9867
|
FINISHED |
| Object | columns |
—
|
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: columns | Statement: [Serliana, isTypicallySupportedBy, columns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallySupportedBy Context triple: [Serliana, isTypicallySupportedBy, columns]
-
A.
isSupportedBy
chosen
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
-
B.
isSupportedFor
Indicates that one entity provides compatibility, assistance, or backing necessary for another entity’s proper use or operation.
-
C.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
D.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
E.
tieneSoporte
Indicates that one entity provides support, backing, or a supporting structure for another entity.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9c112c81908232dc6908d831cf |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.