Triple
T36197729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marly machine |
E1047173
|
entity |
| Predicate | heightOfLift |
P171004
|
FINISHED |
| Object | about 162 meters |
—
|
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: about 162 meters | Statement: [Marly machine, heightOfLift, about 162 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfLift Context triple: [Marly machine, heightOfLift, about 162 meters]
-
A.
hasVerticalLiftHeight
chosen
Indicates the vertical distance through which something can be raised or lifted.
-
B.
verticalLiftSpanLength
Indicates the length of the span that moves vertically in a lifting structure or mechanism.
-
C.
hasLift
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
D.
elevatorTopSpeed_m_per_s
Indicates the maximum speed, in meters per second, that an elevator can travel.
-
E.
rideHeight
Indicates the vertical distance between a vehicle’s chassis and the ground, defining how high it sits relative to the surface.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.