Triple
T28745517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Moines Public Library |
E731360
|
entity |
| Predicate | centralLibraryNotableFeature |
P166536
|
FINISHED |
| Object | glass and metal façade |
—
|
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: glass and metal façade | Statement: [Des Moines Public Library, centralLibraryNotableFeature, glass and metal façade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralLibraryNotableFeature Context triple: [Des Moines Public Library, centralLibraryNotableFeature, glass and metal façade]
-
A.
centralLibraryNamedAfter
Indicates that a central library bears the name of a particular person, place, or entity.
-
B.
libraryCollectionFocus
Indicates that a library’s collection is primarily oriented toward or specialized in a particular subject, audience, or type of material.
-
C.
servedByLibrary
Indicates that an entity receives services, resources, or support from a particular library.
-
D.
hasCirculationDesk
Indicates that an entity is equipped with or contains a circulation desk, typically used for managing the lending and return of materials.
-
E.
libraryCharacteristic
chosen
Indicates that a specified characteristic, feature, or property is associated with a particular library.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 28, 2026, 6:05 a.m.