Triple
T15642390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feitsui Reservoir |
E376098
|
entity |
| Predicate | drinkingWaterQualityStandard |
P649
|
FINISHED |
| Object | Taiwan national drinking water standards |
—
|
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: Taiwan national drinking water standards | Statement: [Feitsui Reservoir, drinkingWaterQualityStandard, Taiwan national drinking water standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkingWaterQualityStandard Context triple: [Feitsui Reservoir, drinkingWaterQualityStandard, Taiwan national drinking water standards]
-
A.
drinkingWaterStandard
chosen
Indicates that something meets an established quality or safety standard for drinking water.
-
B.
hasWaterQualityDesignation
Indicates that an entity has been assigned a specific official classification or status regarding its water quality.
-
C.
waterQualityProtection
Indicates efforts, measures, or responsibilities aimed at preserving or improving the cleanliness, safety, and ecological integrity of water resources.
-
D.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.