Triple
T10784934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering & Applied Science buildings |
E254427
|
entity |
| Predicate | typicallyContain |
P95472
|
FINISHED |
| Object | engineering laboratories |
—
|
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: engineering laboratories | Statement: [School of Engineering & Applied Science buildings, typicallyContain, engineering laboratories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyContain Context triple: [School of Engineering & Applied Science buildings, typicallyContain, engineering laboratories]
-
A.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
B.
containsMostOf
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
C.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
D.
mustContain
Indicates that one entity is required to include or have within it another specified entity or element.
-
E.
typicallyHolds
Indicates that a certain relationship or condition generally holds true in typical or normal situations, though not necessarily in all cases.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d2e7cc8190a4cb9a4d7c76ab15 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:17 p.m.