Triple
T859741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swastika |
E18572
|
entity |
| Predicate | hasArmOrientation |
P12663
|
FINISHED |
| Object | bent at right angles |
—
|
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: bent at right angles | Statement: [Swastika, hasArmOrientation, bent at right angles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArmOrientation Context triple: [Swastika, hasArmOrientation, bent at right angles]
-
A.
hasArmCount
Indicates the number of arms that an entity possesses.
-
B.
hasOrientation
chosen
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
C.
hasFieldOrientation
Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
-
D.
hasArmrestType
Indicates the specific style or configuration of armrests associated with an item.
-
E.
isDistributionArmOf
Indicates that one entity functions as the distribution arm or channel responsible for delivering or selling the products or services of another entity.
- 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_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. |
Created at: March 1, 2026, 7:39 p.m.