Triple
T2183194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaco Island |
E49091
|
entity |
| Predicate | hasWaterQuality |
P15328
|
FINISHED |
| Object | high water clarity |
—
|
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: high water clarity | Statement: [Jaco Island, hasWaterQuality, high water clarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterQuality Context triple: [Jaco Island, hasWaterQuality, high water clarity]
-
A.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
-
B.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
C.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
-
D.
hasWaterClarity
chosen
Indicates the degree to which water in a given context is clear, transparent, or free from visible impurities.
-
E.
waterQualityProtection
Indicates efforts, measures, or responsibilities aimed at preserving or improving the cleanliness, safety, and ecological integrity of water resources.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.