Triple
T20685194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmadewa University |
E508393
|
entity |
| Predicate | hasCampusCountryCode |
P141037
|
FINISHED |
| Object | ID |
—
|
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: ID | Statement: [Warmadewa University, hasCampusCountryCode, ID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusCountryCode Context triple: [Warmadewa University, hasCampusCountryCode, ID]
-
A.
hasBranchCampusCountry
Indicates that an educational institution maintains at least one branch campus located in the specified country.
-
B.
hasCampusState
Indicates that an institution’s campus is located within a specified state or state-level administrative region.
-
C.
isAbroadCampusOf
Indicates that one campus is a geographically separate, foreign-location branch of a primary institution or main campus.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beabf72881909771b6c6a81276d6 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:45 a.m.