Triple
T31731435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsessing Library |
E809869
|
entity |
| Predicate | hasComputersForPublicUse |
P204044
|
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: [Kingsessing Library, hasComputersForPublicUse, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComputersForPublicUse Context triple: [Kingsessing Library, hasComputersForPublicUse, yes]
-
A.
hasPublicSpaces
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
-
B.
isFreeOrPublic
Indicates that the entity is available for use, access, or participation without cost or with unrestricted public access.
-
C.
hasPartOpenToPublic
Indicates that some portion or component of an entity is accessible for use or visitation by the general public.
-
D.
hasSiteUse
Indicates that a site is used or designated for a particular function, activity, or purpose.
-
E.
hasPublicRooms
Indicates that an entity possesses one or more rooms that are accessible or available for use by the general public.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0311c202408190be88a85337aacf11 |
completed | May 12, 2026, 11:40 a.m. |
| PD | Predicate disambiguation | batch_6a0310b0c9c88190ab218d47d4f432ed |
completed | May 12, 2026, 11:36 a.m. |
| PDg | Predicate description generation | batch_6a0311c145a08190ba7658db898ab7d6 |
completed | May 12, 2026, 11:40 a.m. |
Created at: April 30, 2026, 11:21 p.m.