Triple
T9461640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prasuni |
E228159
|
entity |
| Predicate | spokenInValleys |
P38864
|
FINISHED |
| Object | remote valleys of eastern Afghanistan |
—
|
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: remote valleys of eastern Afghanistan | Statement: [Prasuni, spokenInValleys, remote valleys of eastern Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInValleys Context triple: [Prasuni, spokenInValleys, remote valleys of eastern Afghanistan]
-
A.
spokenInValley
chosen
Indicates that something (typically a language, dialect, or speech form) is used or spoken within a particular valley.
-
B.
liesBetweenValleys
Indicates that something is positioned in the area or region separating two valleys.
-
C.
spokenInRuralAreasOf
Indicates that something (typically a language, dialect, or speech variety) is used or spoken primarily in the rural areas of a specified region or country.
-
D.
primaryValley
Indicates that a valley is the main or most significant valley associated with a given geographic feature or region.
-
E.
valleyOpensToward
Indicates that a valley is oriented or slopes in the direction of a specified location or feature, effectively opening toward it.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:52 p.m.