Triple
T27580568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle Vue Zoological Gardens |
E699573
|
entity |
| Predicate | peakVisitorPeriod |
P162720
|
FINISHED |
| Object | early 20th century |
—
|
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 20th century | Statement: [Belle Vue Zoological Gardens, peakVisitorPeriod, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakVisitorPeriod Context triple: [Belle Vue Zoological Gardens, peakVisitorPeriod, early 20th century]
-
A.
peakServicePeriod
Indicates the time interval during which a service experiences its highest or most intensive level of use or operation.
-
B.
peakArribadaPeriod
Indicates the time period during which arribada activity reaches its highest intensity or frequency.
-
C.
peakExportPeriod
Indicates the time period during which exports of a given item or from a given source reach their highest level.
-
D.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
E.
peakVisibility
Indicates the degree to which a peak (such as a mountain or summit) is visible from a given location or under certain conditions.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63015a6bc8190b4f47236dd4b6680 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 2:02 p.m.