Triple
T1689135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petorca Province |
E36510
|
entity |
| Predicate | waterIssue |
P26834
|
FINISHED |
| Object | overexploitation of groundwater |
—
|
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: overexploitation of groundwater | Statement: [Petorca Province, waterIssue, overexploitation of groundwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterIssue Context triple: [Petorca Province, waterIssue, overexploitation of groundwater]
-
A.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
B.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
C.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
-
D.
hasWaterManagementIssue
chosen
Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
-
E.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.