Triple
T2743380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington College of Law campus at Tenleytown |
E60804
|
entity |
| Predicate | offersFacilitiesFor |
P12416
|
FINISHED |
| Object | Juris Doctor programs |
—
|
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: Juris Doctor programs | Statement: [Washington College of Law campus at Tenleytown, offersFacilitiesFor, Juris Doctor programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersFacilitiesFor Context triple: [Washington College of Law campus at Tenleytown, offersFacilitiesFor, Juris Doctor programs]
-
A.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
B.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
C.
hasMaintenanceFacilities
Indicates that one entity provides or contains facilities where the other entity can be serviced, repaired, or maintained.
-
D.
hasBackstageFacilities
Indicates that a venue or location provides backstage areas and related facilities for performers or staff.
-
E.
findingOnFacilities
Indicates a relationship where an inspection or assessment identifies a specific issue, observation, or result associated with particular facilities.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb314410819095d4822f9277e6ff |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.