Triple
T12596182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MESA |
E300735
|
entity |
| Predicate | hasCohortSize |
P53768
|
FINISHED |
| Object | over 6000 participants |
—
|
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: over 6000 participants | Statement: [MESA, hasCohortSize, over 6000 participants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCohortSize Context triple: [MESA, hasCohortSize, over 6000 participants]
-
A.
hasTypicalFirstCohortSize
Indicates the usual or standard number of individuals in the first cohort associated with an entity.
-
B.
numberOfCohorts
Indicates the total count of distinct cohorts associated with or involved in a given entity or context.
-
C.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
D.
enrollmentSize
chosen
Indicates the number of individuals enrolled or registered in a particular group, program, or institution.
-
E.
hasParentCohort
Indicates that one cohort is the direct parent or higher-level grouping of another cohort in a hierarchical structure.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:08 p.m.