Triple
T14097254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Gurion Boulevard |
E339283
|
entity |
| Predicate | axisOfView |
P60936
|
FINISHED |
| Object | central axis toward Bahá'í terraces |
—
|
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: central axis toward Bahá'í terraces | Statement: [Ben Gurion Boulevard, axisOfView, central axis toward Bahá'í terraces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: axisOfView Context triple: [Ben Gurion Boulevard, axisOfView, central axis toward Bahá'í terraces]
-
A.
axisObjective
Indicates that an entity serves as a primary goal, target, or focal objective along a defined axis or strategic direction in a given context.
-
B.
offAxisAngle
Indicates the angle by which something is rotated or deviates from a defined primary or reference axis.
-
C.
projectionAngle
Indicates the angle at which one entity is projected onto or relative to another reference (such as a line, plane, or direction).
-
D.
formsAxisOf
chosen
Indicates that one entity serves together with another as the central line or primary axis around which a structure, system, or configuration is organized.
-
E.
rotationAxis
Indicates the axis around which an object or system rotates or is intended to rotate.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.