Triple
T26346315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Terminator |
E662784
|
entity |
| Predicate | ringPosition |
P51226
|
FINISHED |
| Object | from one corner to the opposite corner |
—
|
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: from one corner to the opposite corner | Statement: [Van Terminator, ringPosition, from one corner to the opposite corner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ringPosition Context triple: [Van Terminator, ringPosition, from one corner to the opposite corner]
-
A.
rackPosition
Indicates the spatial placement or slot of an item within a rack or racking system.
-
B.
ringLocation
chosen
Indicates the spatial position or placement of a ring relative to a reference object or context.
-
C.
ringType
Indicates the specific kind or category of ring associated with an entity or relationship.
-
D.
ringContained
Indicates that one ring-shaped object is entirely enclosed within the spatial bounds of another ring-shaped object.
-
E.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa718188190a3f4d76db2cdf670 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:42 p.m.