Triple
T24751208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National District |
E619148
|
entity |
| Predicate | hasNationalUniversity |
P62952
|
FINISHED |
| Object | Universidad Autónoma de Santo Domingo |
—
|
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: Universidad Autónoma de Santo Domingo | Statement: [National District, hasNationalUniversity, Universidad Autónoma de Santo Domingo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalUniversity Context triple: [National District, hasNationalUniversity, Universidad Autónoma de Santo Domingo]
-
A.
hasUniversities
chosen
Indicates that an entity possesses, contains, or is associated with one or more universities.
-
B.
hasMajorUniversity
Indicates that a location or region contains at least one prominent, large, or academically significant university.
-
C.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
D.
hasCentralUniversityStatus
Indicates that an institution holds the official designation or recognition as a central or nationally governed university.
-
E.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 4:24 a.m.