Triple
T6486532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copiapó River |
E146525
|
entity |
| Predicate | nearbyEconomicActivity |
P71206
|
FINISHED |
| Object | copper mining |
—
|
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: copper mining | Statement: [Copiapó River, nearbyEconomicActivity, copper mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyEconomicActivity Context triple: [Copiapó River, nearbyEconomicActivity, copper mining]
-
A.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
B.
nearbyCurrent
Indicates that one entity is located close to another entity at the present moment or in the current context.
-
C.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
D.
nearbyVenue
Indicates that one venue is located close to another venue in physical space.
-
E.
nearbyEvent
Indicates that one event occurs close in space or time to another event.
- F. None of above. chosen
Provenance (4 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a706d4c8190b7a3cc8855abcecb |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c06822f73081908e6bb9edecbe77a6 |
completed | March 22, 2026, 10:07 p.m. |
Created at: March 22, 2026, 4:52 p.m.