Triple
T25111276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escherichia coli |
E628999
|
entity |
| Predicate | usedAsIndicator |
P19514
|
FINISHED |
| Object | fecal contamination in water |
—
|
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: fecal contamination in water | Statement: [Escherichia coli, usedAsIndicator, fecal contamination in water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsIndicator Context triple: [Escherichia coli, usedAsIndicator, fecal contamination in water]
-
A.
usesIndicator
chosen
Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
-
B.
usedAsTracerOf
Indicates that one entity is employed as a tracer to track, monitor, or follow the behavior, movement, or distribution of another entity.
-
C.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
D.
usedAsStandard
Indicates that one entity serves as the reference or benchmark against which another entity is measured, compared, or evaluated.
-
E.
usedInStatistic
Indicates that something (such as a value, measure, or data item) is employed as part of the calculation or presentation of a particular statistic.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 6:27 a.m.