Triple
T38217076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foursquare emblem |
E1010714
|
entity |
| Predicate | isVisualSummaryOf |
P77199
|
FINISHED |
| Object | Foursquare doctrine of Christ |
—
|
NE NERFINISHED |
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: Foursquare doctrine of Christ | Statement: [Foursquare emblem, isVisualSummaryOf, Foursquare doctrine of Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVisualSummaryOf Context triple: [Foursquare emblem, isVisualSummaryOf, Foursquare doctrine of Christ]
-
A.
visualizedIn
chosen
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
B.
summarizes
Indicates that one entity provides a concise representation or overview of the main points or content of another entity.
-
C.
reasoningSummary
Indicates that an entity provides a condensed explanation or overview of the reasoning or logical steps behind a conclusion, decision, or result.
-
D.
visuallyDefines
Indicates that one entity establishes or clarifies the appearance, form, or visual characteristics of another entity.
-
E.
outcomeSummary
Indicates a concise description or overview of the result or consequences of an action, event, or process.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.