Triple
T23723723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English landscape movement |
E586212
|
entity |
| Predicate | usedDesignDevice |
P153715
|
FINISHED |
| Object | ha-ha to create invisible boundaries |
—
|
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: ha-ha to create invisible boundaries | Statement: [English landscape movement, usedDesignDevice, ha-ha to create invisible boundaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDesignDevice Context triple: [English landscape movement, usedDesignDevice, ha-ha to create invisible boundaries]
-
A.
usedAsDeviceFor
Indicates that one entity functions as a tool, instrument, or device for performing an action or achieving a particular purpose for another entity.
-
B.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
C.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
D.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
E.
usedInDeviceModel
Indicates that something (such as a component, material, or technology) is utilized within or incorporated into a particular device model.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91364208190b3404534a7403e08 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:07 p.m.