Triple
T2502846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanhu Campus |
E52505
|
entity |
| Predicate | hasStudentFacilities |
P12416
|
FINISHED |
| Object | student dormitories |
—
|
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: student dormitories | Statement: [Nanhu Campus, hasStudentFacilities, student dormitories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentFacilities Context triple: [Nanhu Campus, hasStudentFacilities, student dormitories]
-
A.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
B.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
C.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
D.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
campusFacilityType
Indicates the specific kind of facility a campus location is classified as (e.g., library, laboratory, residence hall).
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cb4f6481908d4e0a1dc0d84d3c |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.