Triple
T17176347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tradition Plaza |
E416869
|
entity |
| Predicate | contextWithinCampus |
P36352
|
FINISHED |
| Object | part of the Bonfire Memorial landscape |
—
|
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: part of the Bonfire Memorial landscape | Statement: [Tradition Plaza, contextWithinCampus, part of the Bonfire Memorial landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contextWithinCampus Context triple: [Tradition Plaza, contextWithinCampus, part of the Bonfire Memorial landscape]
-
A.
isPartOfCampus
chosen
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
B.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
C.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
D.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
E.
cityCampus
Indicates that a campus is located within or associated with a particular city.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0e14e08190901b1fbccc9322ae |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.