Triple
T15246977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington, D.C. campus |
E364407
|
entity |
| Predicate | roleWithinPepperdine |
P29581
|
FINISHED |
| Object | East Coast center |
—
|
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: East Coast center | Statement: [Washington, D.C. campus, roleWithinPepperdine, East Coast center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithinPepperdine Context triple: [Washington, D.C. campus, roleWithinPepperdine, East Coast center]
-
A.
roleAtUCSD
Indicates that an entity holds or has held a specific role or position at the University of California, San Diego (UCSD).
-
B.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
C.
campusRole
chosen
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
D.
roleInPrograms
Indicates that an entity holds a specific role or function within one or more programs.
-
E.
collegePosition
Indicates the role, title, or position an individual holds within a college or university.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.