Triple

T25111263

Position	Surface form	Disambiguated ID	Type / Status
Subject	Escherichia coli	`E628999`	entity
Predicate	pathogenicStrains	`P99744`	FINISHED
Object	enterotoxigenic Escherichia coli Enterotoxigenic Escherichia coli is a diarrheagenic strain of E. coli that produces heat-labile and/or heat-stable enterotoxins and is a leading cause of travelers’ diarrhea and childhood diarrhea in developing countries.	`E1667742`	NE FINISHED

How this triple was built (3 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: enterotoxigenic Escherichia coli | Statement: [Escherichia coli, pathogenicStrains, enterotoxigenic Escherichia coli]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: enterotoxigenic Escherichia coli
Triple: [Escherichia coli, pathogenicStrains, enterotoxigenic Escherichia coli]

Generated description

Enterotoxigenic Escherichia coli is a diarrheagenic strain of E. coli that produces heat-labile and/or heat-stable enterotoxins and is a leading cause of travelers’ diarrhea and childhood diarrhea in developing countries.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: pathogenicStrains
Context triple: [Escherichia coli, pathogenicStrains, enterotoxigenic Escherichia coli]

A. pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
B. isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
C. pathogenicMember chosen
Indicates that an entity is a member of a group or set that is characterized as pathogenic (capable of causing disease).
D. pathogenGenus
Indicates that one entity is a pathogen belonging to, or classified under, the specified genus.
E. pathogenicityToHumans
Indicates that an entity has the capacity to cause disease or harmful health effects in humans.
F. None of above.

Provenance (6 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_69f465767c48819086fa0573dca12276`	completed	May 1, 2026, 8:33 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a105cf39d888190aeac2993bb278393`	completed	May 22, 2026, 1:41 p.m.
NEDg	Description generation	`batch_6a105e161df88190ba6a36e7581cd4ae`	completed	May 22, 2026, 1:45 p.m.
NED2	Entity disambiguation (via description)	`batch_6a105f91c8808190b902d606e0ad6d0e`	completed	May 22, 2026, 1:52 p.m.
PD	Predicate disambiguation	`batch_69f45cfb53f4819099bba48c5057e787`	completed	May 1, 2026, 7:57 a.m.

Created at: April 18, 2026, 6:27 a.m.