Triple
T30840914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas de Riotinto |
E785504
|
entity |
| Predicate | hasRiverCharacteristic |
P128972
|
FINISHED |
| Object | acidic waters of Río Tinto |
—
|
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: acidic waters of Río Tinto | Statement: [Minas de Riotinto, hasRiverCharacteristic, acidic waters of Río Tinto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverCharacteristic Context triple: [Minas de Riotinto, hasRiverCharacteristic, acidic waters of Río Tinto]
-
A.
hasRiverineCharacteristic
chosen
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
B.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
C.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
D.
hasWaterBodyCharacteristic
Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
-
E.
hasWatershedCharacteristic
Indicates that a watershed possesses a specified characteristic, feature, or property.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 8:45 p.m.