Triple
T21512253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWh |
E530754
|
entity |
| Predicate | affectsHumanActivity |
P11752
|
FINISHED |
| Object | requires irrigation for agriculture |
—
|
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: requires irrigation for agriculture | Statement: [BWh, affectsHumanActivity, requires irrigation for agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsHumanActivity Context triple: [BWh, affectsHumanActivity, requires irrigation for agriculture]
-
A.
effectOfActivities
Indicates the causal impact that certain activities have on a particular outcome, state, or condition.
-
B.
humanImpact
chosen
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
C.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
D.
humanImpactLevel
Indicates the degree or extent to which human activities affect or influence a given entity, system, or environment.
-
E.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea8779c081908171c58d345d54ae |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.