Triple
T57602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the college at Newtowne |
E1139
|
entity |
| Predicate | architecturalSetting |
P607
|
FINISHED |
| Object | early colonial campus in Newtowne |
—
|
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: early colonial campus in Newtowne | Statement: [the college at Newtowne, architecturalSetting, early colonial campus in Newtowne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalSetting Context triple: [the college at Newtowne, architecturalSetting, early colonial campus in Newtowne]
-
A.
architecturalStyle
chosen
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
D.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
E.
significantBuilding
Indicates that a building holds notable importance, prominence, or special status within a particular context (e.g., historical, cultural, architectural, or functional).
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.