Triple
T859780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swastika |
E18572
|
entity |
| Predicate | leftFacingAssociatedWith |
P20259
|
FINISHED |
| Object | night or tantric aspects in some traditions |
—
|
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: night or tantric aspects in some traditions | Statement: [Swastika, leftFacingAssociatedWith, night or tantric aspects in some traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftFacingAssociatedWith Context triple: [Swastika, leftFacingAssociatedWith, night or tantric aspects in some traditions]
-
A.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
-
B.
positionedAgainst
Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
-
C.
leftLocation
Indicates that an entity has departed from or moved away from a specified location.
-
D.
frontLineDirection
Indicates the primary orientation or bearing in which the front line of a conflict, formation, or boundary is facing or advancing.
-
E.
side
Indicates that one entity is located at, aligned with, or associated with the lateral part or edge of 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac50e5ec81908ac0c4b7123b4ebb |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.