Triple
T38295274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian@ILAC |
E1022470
|
entity |
| Predicate | hasCampusModel |
P202193
|
FINISHED |
| Object | embedded within a private language school |
—
|
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: embedded within a private language school | Statement: [Georgian@ILAC, hasCampusModel, embedded within a private language school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusModel Context triple: [Georgian@ILAC, hasCampusModel, embedded within a private language school]
-
A.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
B.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
C.
hasSurfaceCampus
Indicates that one entity (typically an institution) maintains a physical campus or site located on the surface of another entity (such as a planet or celestial body).
-
D.
hasCampusState
Indicates that an institution’s campus is located within a specified state or state-level administrative region.
-
E.
hasCampusRelationship
Indicates a relationship that exists between entities within a campus context, such as affiliations, partnerships, or formal connections tied to a specific 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_6a005e89803c8190ad732ad15affb81f |
completed | May 10, 2026, 10:31 a.m. |
Created at: May 3, 2026, 4:30 p.m.