Triple
T7184149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben-Gurion grave site |
E167526
|
entity |
| Predicate | designedToEmphasize |
P65476
|
FINISHED |
| Object | simplicity |
—
|
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: simplicity | Statement: [Ben-Gurion grave site, designedToEmphasize, simplicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToEmphasize Context triple: [Ben-Gurion grave site, designedToEmphasize, simplicity]
-
A.
designEmphasizes
chosen
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
B.
designedToEvoke
Indicates that something was intentionally created or arranged in order to elicit a particular reaction, feeling, or response from an audience or observer.
-
C.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
D.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
E.
designedToFace
Indicates that one entity has been intentionally oriented or configured so that its front, surface, or primary direction points toward another entity or reference direction.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.