Triple
T37496564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acinetobacter |
E931842
|
entity |
| Predicate | infectionControl |
P150442
|
FINISHED |
| Object | requires strict contact precautions |
—
|
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: requires strict contact precautions | Statement: [Acinetobacter, infectionControl, requires strict contact precautions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectionControl Context triple: [Acinetobacter, infectionControl, requires strict contact precautions]
-
A.
infectionRequires
Indicates that the occurrence or establishment of an infection depends on the presence or fulfillment of a specified condition, factor, or prerequisite.
-
B.
hasInfectionControlMeasures
chosen
Indicates that appropriate procedures or actions are in place to prevent, reduce, or control the spread of infection.
-
C.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
-
D.
infectionResult
Indicates that one entity causes or leads to a particular outcome, condition, or state as a result of an infection affecting another entity.
-
E.
healthcareWorkerInfectionsApproximate
Indicates that the number of infections among healthcare workers is an approximate or estimated value rather than an exact count.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.