Triple
T6232391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marcos, California |
E139386
|
entity |
| Predicate | CSUSMOpened |
P69649
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [San Marcos, California, CSUSMOpened, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CSUSMOpened Context triple: [San Marcos, California, CSUSMOpened, 1990]
-
A.
sisterCampus
Indicates that two educational institutions are formally recognized as sister campuses, typically sharing an affiliation, governance, or coordinated programs while remaining distinct entities.
-
B.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
C.
governsCampus
Indicates that one entity has administrative or authoritative control over the operations and policies of a campus.
-
D.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
-
E.
isPartOfCampus
Indicates that one place, facility, or area is located within and belongs to a larger campus.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ee6f088190bf72692eb8ffb761 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:22 p.m.