Triple
T23434583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Jaspers |
E563421
|
entity |
| Predicate | boroughOfCollegeRepresented |
P152262
|
FINISHED |
| Object | The Bronx |
—
|
NE NERFINISHED |
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: The Bronx | Statement: [Lady Jaspers, boroughOfCollegeRepresented, The Bronx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boroughOfCollegeRepresented Context triple: [Lady Jaspers, boroughOfCollegeRepresented, The Bronx]
-
A.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
schoolRepresented
Indicates that one entity serves as the representative or official delegate of a school in relation to another entity or context.
-
D.
isConstituentCollegeOf
Indicates that one educational institution functions as a constituent or affiliated college that forms part of a larger parent university or institution.
-
E.
memberCollege
Indicates that a college is a constituent or affiliated unit within a larger organization, such as a university or educational system.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:49 p.m.