Triple
T31399305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | هندوکش شرقی |
E800948
|
entity |
| Predicate | نوع محیط |
P853
|
FINISHED |
| Object | محیط کوهستانی سختگذر |
—
|
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: محیط کوهستانی سختگذر | Statement: [هندوکش شرقی, نوع محیط, محیط کوهستانی سختگذر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع محیط Context triple: [هندوکش شرقی, نوع محیط, محیط کوهستانی سختگذر]
-
A.
محیط زیست
Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living conditions.
-
B.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
C.
secondaryEnvironment
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
-
D.
environmentSubtype
Indicates that one environment is a more specific subtype or category within another, more general environment.
-
E.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.