Triple
T10256432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iténez River |
E240480
|
entity |
| Predicate | surroundingsCondition |
P2900
|
FINISHED |
| Object | largely untouched |
—
|
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: largely untouched | Statement: [Iténez River, surroundingsCondition, largely untouched]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundingsCondition Context triple: [Iténez River, surroundingsCondition, largely untouched]
-
A.
environmentalCondition
chosen
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
B.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
C.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
D.
temperatureRelativeToSurroundings
Indicates how an entity’s temperature compares to that of its immediate surroundings (e.g., warmer, cooler, or equal).
-
E.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:30 a.m.