Triple
T30921114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Tinto |
E787724
|
entity |
| Predicate | impactOfMining |
P5628
|
FINISHED |
| Object | acid mine drainage |
—
|
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: acid mine drainage | Statement: [Río Tinto, impactOfMining, acid mine drainage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfMining Context triple: [Río Tinto, impactOfMining, acid mine drainage]
-
A.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
B.
declineOfLargeScaleMining
Indicates a reduction or downturn in the extent, intensity, or prevalence of large-scale mining activities.
-
C.
eraOfMajorMiningActivity
Indicates the time period during which significant or primary mining operations took place for the associated entity.
-
D.
humanImpactLevel
Indicates the degree or extent to which human activities affect or influence a given entity, system, or environment.
-
E.
hasEnvironmentalImpactOn
chosen
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 8:51 p.m.