Triple
T14850256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unique Areas |
E349206
|
entity |
| Predicate | typicalManagementTools |
P29151
|
FINISHED |
| Object | signage and trail marking |
—
|
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: signage and trail marking | Statement: [Unique Areas, typicalManagementTools, signage and trail marking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalManagementTools Context triple: [Unique Areas, typicalManagementTools, signage and trail marking]
-
A.
managementSoftware
Indicates that one entity is a software system used to organize, control, or coordinate the operations, resources, or processes of another entity.
-
B.
typicalTools
chosen
Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
-
C.
commonSoftwareTools
Indicates that the related entities use or are associated with the same software tools.
-
D.
managementPlanningTool
Indicates that an entity is a tool or system used to support, organize, or execute management planning activities for another entity or process.
-
E.
managementIs
Indicates that one entity holds a managerial role, responsibility, or authority over 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.