Triple
T22692951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIREFISH |
E561096
|
entity |
| Predicate | enrollsAgeGroup |
P108861
|
FINISHED |
| Object | infants aged 1 to 7 months at first dose |
—
|
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: infants aged 1 to 7 months at first dose | Statement: [FIREFISH, enrollsAgeGroup, infants aged 1 to 7 months at first dose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrollsAgeGroup Context triple: [FIREFISH, enrollsAgeGroup, infants aged 1 to 7 months at first dose]
-
A.
ageGroupInvolved
chosen
Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
-
B.
enrollmentCategory
Indicates the classification or type of enrollment under which an entity is registered or participating.
-
C.
enrolledIn
Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
-
D.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
E.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.