Triple
T7179818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laiwangi Wanggameti National Park |
E167416
|
entity |
| Predicate | permittedActivity |
P75860
|
FINISHED |
| Object | nature tourism |
—
|
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: nature tourism | Statement: [Laiwangi Wanggameti National Park, permittedActivity, nature tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permittedActivity Context triple: [Laiwangi Wanggameti National Park, permittedActivity, nature tourism]
-
A.
mayRestrictActivity
Indicates that one entity has the authority or ability to limit, constrain, or prohibit certain actions or behaviors of another entity.
-
B.
workPermitted
Indicates that one entity is allowed or authorized to perform work or employment-related activities in relation to another entity or within a given context.
-
C.
protectedActivity
Indicates that an entity is engaged in an action or behavior that is legally or formally safeguarded from retaliation, interference, or adverse consequences.
-
D.
mannerOfActivity
Indicates the way or style in which an activity is performed or carried out.
-
E.
permitType
Indicates the specific category or kind of permit associated with an entity or activity.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:49 p.m.