Triple
T34548053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester Round Table |
E886984
|
entity |
| Predicate | hasSegmentPanels |
P77713
|
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: [Winchester Round Table, hasSegmentPanels, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSegmentPanels Context triple: [Winchester Round Table, hasSegmentPanels, true]
-
A.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
hasInformationPanels
Indicates that an entity is equipped with or accompanied by informational panels that provide explanatory or descriptive content.
-
C.
hasPanelComposition
chosen
Indicates that something is composed of or structured into multiple panels or panel-like sections.
-
D.
hasPanelAppearance
Indicates that an entity features or exhibits a particular panel-based visual or structural appearance.
-
E.
hasPanelType
Indicates that an entity is associated with or characterized by a specific type or category of panel.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 1, 2026, 2:02 a.m.