Triple
T32187409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinkley |
E822142
|
entity |
| Predicate | waterContaminant |
P26020
|
FINISHED |
| Object | chromium-6 |
—
|
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: chromium-6 | Statement: [Hinkley, waterContaminant, chromium-6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterContaminant Context triple: [Hinkley, waterContaminant, chromium-6]
-
A.
waterQualityIssues
Indicates that there are problems or concerns with the condition, safety, or suitability of a water source.
-
B.
waterContains
chosen
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
-
C.
waterAppearance
Indicates how the water involved in the situation looks or visually appears (e.g., its color, clarity, or surface condition).
-
D.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
-
E.
containsContaminant
Indicates that one entity includes, holds, or is tainted by an unwanted or harmful contaminating substance or element.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 1, 2026, 12:35 a.m.