Triple
T26504000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucks County Prison |
E669495
|
entity |
| Predicate | currentOccupantOfSite |
P2911
|
FINISHED |
| Object | James A. Michener Art Museum |
E178011
|
NE 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: James A. Michener Art Museum | Statement: [Bucks County Prison, currentOccupantOfSite, James A. Michener Art Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentOccupantOfSite Context triple: [Bucks County Prison, currentOccupantOfSite, James A. Michener Art Museum]
-
A.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
B.
occupiedBy
chosen
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
-
C.
currentSiteUse
Indicates how a site is presently being used or the function it currently serves.
-
D.
fieldOfOccupant
Indicates the specific professional or academic field in which an occupant is engaged or associated.
-
E.
tenantOccupation
Indicates that an entity occupies or uses a property or premises as a tenant under a rental or lease arrangement.
- F. None of above.
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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec0bc5848190bd2bf5c444ad9c9d |
completed | May 23, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 27, 2026, 1:15 a.m.