Triple
T3651516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy |
E77426
|
entity |
| Predicate | sideOneStructure |
P50690
|
FINISHED |
| Object | continuous suite |
—
|
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: continuous suite | Statement: [Fantasy, sideOneStructure, continuous suite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOneStructure Context triple: [Fantasy, sideOneStructure, continuous suite]
-
A.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
B.
viaStructure
Indicates that one entity is connected to or accessed through a particular structural element or medium.
-
C.
segmentStructure
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
-
D.
internalStructure
Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
-
E.
primaryStructure
Indicates that one entity serves as the main or principal structural component or framework in relation to another entity.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b664448190986b5223d59de282 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adbae14d488190a6024548979c6faf |
completed | March 8, 2026, 6:07 p.m. |
Created at: March 8, 2026, 3:24 p.m.