Triple
T2531430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Choapa |
E56166
|
entity |
| Predicate | hasCatchmentUse |
P25275
|
FINISHED |
| Object | rural settlements |
—
|
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: rural settlements | Statement: [Río Choapa, hasCatchmentUse, rural settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchmentUse Context triple: [Río Choapa, hasCatchmentUse, rural settlements]
-
A.
hasWatershedUse
chosen
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
B.
hasCatchmentArea
Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
-
C.
hasHydrologicalFunction
Indicates that something performs a role or action related to the movement, storage, or regulation of water within a hydrological system.
-
D.
hasFloodplainUse
Indicates that a floodplain area is being used or designated for a particular purpose or activity.
-
E.
hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2781700819091ffc32244d9efe2 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.