Triple
T34850275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campustown Champaign-Urbana |
E1004581
|
entity |
| Predicate | timePeriodMostActive |
P70162
|
FINISHED |
| Object | academic year |
—
|
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: academic year | Statement: [Campustown Champaign-Urbana, timePeriodMostActive, academic year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodMostActive Context triple: [Campustown Champaign-Urbana, timePeriodMostActive, academic year]
-
A.
activityPeakPeriod
chosen
Indicates the time period during which an activity reaches its highest level or intensity.
-
B.
activePeriodApproximate
Indicates that the time span during which an entity was active is known only approximately rather than as precise dates.
-
C.
timePeriodOfMostInscriptions
Indicates the time period during which the highest number of inscriptions associated with a given entity were created or recorded.
-
D.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
E.
peakVisitorPeriod
Indicates the time period during which a place or attraction experiences its highest number of visitors.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4 p.m.