Triple
T37634979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardnerella |
E936462
|
entity |
| Predicate | associatedWithPregnancyOutcome |
P63289
|
FINISHED |
| Object | preterm birth risk (when overgrown) |
—
|
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: preterm birth risk (when overgrown) | Statement: [Gardnerella, associatedWithPregnancyOutcome, preterm birth risk (when overgrown)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPregnancyOutcome Context triple: [Gardnerella, associatedWithPregnancyOutcome, preterm birth risk (when overgrown)]
-
A.
pregnancyWith
Indicates that one entity is pregnant with, or carrying in utero, another entity.
-
B.
hasPregnancyRisk
Indicates that one entity poses or is associated with a potential risk of causing pregnancy for another entity.
-
C.
associatedWithOutcome
chosen
Indicates a relationship where an entity is linked to, contributes to, or results in a particular outcome.
-
D.
pregnantBy
Indicates that one entity is carrying a pregnancy that was biologically conceived by another specified entity.
-
E.
hasSurrogatePregnancyFor
Indicates that one entity is carrying a pregnancy on behalf of another entity, typically with the intention of giving the resulting child to that other entity.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.