Triple
T7559220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parque Nacional Natural Chingaza |
E178750
|
entity |
| Predicate | waterSupplyShare |
P77607
|
FINISHED |
| Object | a large proportion of Bogotá’s potable water |
—
|
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: a large proportion of Bogotá’s potable water | Statement: [Parque Nacional Natural Chingaza, waterSupplyShare, a large proportion of Bogotá’s potable water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSupplyShare Context triple: [Parque Nacional Natural Chingaza, waterSupplyShare, a large proportion of Bogotá’s potable water]
-
A.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
B.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
C.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
D.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
E.
waterDistributionMethod
Indicates how water is delivered, supplied, or allocated from a source to its intended recipients or locations.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dc7d288190a0d08ba704cc3fc2 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.