Triple
T21083666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dannemora, New York |
E519432
|
entity |
| Predicate | identityShapedBy |
P142766
|
FINISHED |
| Object | presence of Clinton Correctional Facility |
—
|
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: presence of Clinton Correctional Facility | Statement: [Dannemora, New York, identityShapedBy, presence of Clinton Correctional Facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identityShapedBy Context triple: [Dannemora, New York, identityShapedBy, presence of Clinton Correctional Facility]
-
A.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
B.
identityFeatures
Indicates that certain characteristics or attributes are used to define, distinguish, or uniquely identify an entity.
-
C.
identifiedUsing
Indicates that one entity was recognized, distinguished, or determined by means of a specified method, tool, or identifier.
-
D.
identityConcealedBy
Indicates that one entity hides, masks, or obscures the true identity of another entity.
-
E.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:49 p.m.