Triple
T14712470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strub system |
E345584
|
entity |
| Predicate | rackPosition |
P115474
|
FINISHED |
| Object | between running rails |
—
|
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: between running rails | Statement: [Strub system, rackPosition, between running rails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rackPosition Context triple: [Strub system, rackPosition, between running rails]
-
A.
ridingPosition
Indicates the relative physical placement or posture of an entity while it is riding or being carried by another entity.
-
B.
ribbonPosition
Indicates the spatial or ordered placement of a ribbon relative to a reference object or coordinate system.
-
C.
bearerPosition
Indicates the spatial or positional relationship of a bearer (holder or carrier) relative to the item or entity it bears.
-
D.
stickPlacement
Indicates the spatial arrangement or positioning of a stick relative to other objects or a reference frame.
-
E.
swordPosition
Indicates the spatial location or placement of a sword relative to a reference point or 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.