Triple
T12018863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita Campus |
E286095
|
entity |
| Predicate | campusDirection |
P102813
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Kita Campus, campusDirection, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusDirection Context triple: [Kita Campus, campusDirection, north]
-
A.
positionOnCampus
Indicates the spatial location or placement of an entity within the boundaries or layout of a campus.
-
B.
campusQuadrant
Indicates the specific sector or quadrant of a campus in which an entity is located or to which it belongs.
-
C.
campusStructure
Indicates a structural or organizational relationship between parts of a campus and the campus as a whole (e.g., buildings, facilities, or areas belonging to or forming the campus).
-
D.
campusLandmark
Indicates that something serves as a notable or recognizable landmark located on or associated with a campus.
-
E.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.