Triple
T13577567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murghab River |
E324326
|
entity |
| Predicate | primaryUseInTurkmenistan |
P77624
|
FINISHED |
| Object | irrigation |
—
|
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: irrigation | Statement: [Murghab River, primaryUseInTurkmenistan, irrigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseInTurkmenistan Context triple: [Murghab River, primaryUseInTurkmenistan, irrigation]
-
A.
traditionallyUsedBy
Indicates that something has been customarily or historically used by a particular person, group, or culture over time.
-
B.
primaryHumanUse
chosen
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
-
C.
primarilyUsedBy
Indicates that something is mainly or most commonly used by a particular entity or group.
-
D.
primaryUseArea
Indicates the main functional area or domain in which an entity is primarily used or applied.
-
E.
usedByCountriesWith
Indicates that something (such as an item, system, or practice) is utilized or employed by one or more specified countries in common.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.