Triple
T3600799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Vista |
E76249
|
entity |
| Predicate | hasPopulationDiversity |
P14432
|
FINISHED |
| Object | diverse |
—
|
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: diverse | Statement: [Vermont Vista, hasPopulationDiversity, diverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationDiversity Context triple: [Vermont Vista, hasPopulationDiversity, diverse]
-
A.
geneticDiversity
Indicates variation in genetic characteristics within or between populations or groups.
-
B.
diversity
chosen
Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
-
C.
centerOfDiversity
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
-
D.
historicalDiversity
Indicates that there has been variation or change in the composition, characteristics, or representation of something across different historical periods.
-
E.
hasDiverseStudentBody
Indicates that an educational institution’s student population includes a wide range of backgrounds, characteristics, or identities.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1a1e8c48190a28ea3ddfe8c4e54 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.