Triple
T21083678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dannemora, New York |
E519432
|
entity |
| Predicate | demographicsInfluencedBy |
P3838
|
FINISHED |
| Object | prison population (institutional presence) |
—
|
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: prison population (institutional presence) | Statement: [Dannemora, New York, demographicsInfluencedBy, prison population (institutional presence)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicsInfluencedBy Context triple: [Dannemora, New York, demographicsInfluencedBy, prison population (institutional presence)]
-
A.
demographicImpact
chosen
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
B.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
C.
demographicsIn
Indicates that demographic information is associated with or applies within a specified geographic or organizational area.
-
D.
involvesDemographic
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
-
E.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70948704481908b8b75a2ecc42bb6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.