Triple
T5505716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Ridge Public Library |
E144433
|
entity |
| Predicate | hasOnlineDatabases |
P65134
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Park Ridge Public Library, hasOnlineDatabases, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineDatabases Context triple: [Park Ridge Public Library, hasOnlineDatabases, yes]
-
A.
hasDatabase
Indicates that an entity possesses, uses, or is associated with a specific database.
-
B.
hasOnlineCatalog
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
-
C.
usedInDatabases
Indicates that something is employed or implemented within one or more database systems or database contexts.
-
D.
statusInDatabases
Indicates the current state or condition an entity has within one or more database systems.
-
E.
hasOnlineTools
Indicates that an entity provides or includes tools or functionalities that are accessible via the internet.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0e91d08190a4db907030955bb3 |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:32 p.m.